| name | Transitrix Reg-Intel |
| description | Collect regulatory-source changes in practice — the operational counterpart to the methodology's codex / SEGMENT / AMENDMENT notation work. Watches codex sources flagged `monitoring_needed: true`, runs a cheap change-signal gate before any expensive extraction, then on signal-moved runs the SCAN → SEGMENT → CLASSIFY → OUTPUT pass: fetches and snapshots the source, slices it into obligation-bearing SEGMENT field artefacts, classifies each segment as a CONSTRAINT or REQUIREMENT candidate (positive obligation → REQUIREMENT by default), emits an AMENDMENT field artefact when an existing source has drifted, updates the codex `scan` block, and stages everything in a review digest for human admission. Never writes canon. Never auto-admits. Never silently drops. |
| when_to_use | User says "stand up the regulatory watcher", "run the daily reg-intel scan", "scan my codex sources for amendments", "extract obligations from this regulation", "produce the reg-intel review digest", or has a codex repo with `monitoring_needed: true` sources and wants drift detection plus a draft-obligation pipeline routed through a human gate. |
| min_version | 1.0.0 |
| allowed-tools | Read, Write, Edit, Bash, Glob, Grep, WebFetch |
Transitrix Reg-Intel Skill
The data-collection process for the regulatory side of a Transitrix repository: it turns watched codex sources (laws, regulations, policies, internal standards) into field-zone evidence — SEGMENT-* chunks of the source text, AMENDMENT-* records when a watched source has drifted — and into proposed REQUIREMENT-* / CONSTRAINT-* canon candidates, then routes everything through a human review digest. It is the operational counterpart to the methodology's codex / SEGMENT / AMENDMENT / REQUIREMENT notation work — the part that watches the registry, runs the change-signal gate, slices and classifies the text, and stages the human gate.
Status — building. This SKILL.md is the agent-neutral protocol. The deterministic CLI (@transitrix/reg-intel-cli) ships in increments. All nine run-loop commands are live: list-due (Step 1), check-signal (Step 2), fetch-snapshot (Step 3), segment (Step 4), classify (Step 5), validate (Step 6), amendment (Step 7), update-scan (Step 8), and digest (Step 9). Operational scaffolding to run it on a schedule ships in templates/. Remaining polish: coverage-profile awareness in validate (it needs a shared coverage resolver — a cross-CLI refactor).
The methodology is canon at github.com/transitrix/methodology; this skill is the agent-facing protocol for operating the regulatory-intelligence pipeline against it. It is designed to run agent-neutrally under Claude and GitHub Copilot — all heavy logic lives in the CLI, and this SKILL.md only sequences it.
The two rules that govern everything
-
Propose, never write canon. This skill emits field-zone artefacts (SEGMENT-*, AMENDMENT-*) and canon candidates (REQUIREMENT-* / CONSTRAINT-*) in the proposed state, runs them through the canonical validators, and produces a review digest. It MUST NOT write into canon/, and it MUST NOT silently flip an existing active canon element. Admission to canon stays a deliberate, auditable human gate (admitted_by). A hallucinated obligation reaching canon unreviewed is the worst-case failure, and the whole design exists to prevent it.
-
Cheap signal before expensive extraction. Every scan begins with a change-signal check (ETag/Last-Modified, API "updated" / version field, or source "last amended" date). Only when the signal has actually moved does the agent fetch, snapshot, segment, and classify. The signal gate exists so the daily run is bounded — running SEGMENT and CLASSIFY against every watched source on every tick would be neither affordable nor low-noise. A source whose signal has not moved gets its last_scanned_at and next_scan_due bumped and nothing else.
Step 0 — CLI-presence pre-check
The deterministic work (registry read, signal-check, fetch, snapshot, segmentation, classification, artefact emission, validator pass, digest assembly, scan-block update) is done by the CLI, never reimplemented in the agent. Confirm it is available:
npx @transitrix/reg-intel-cli --version
- Present → proceed.
- Absent → the CLI is not installed (or not published) in this environment. Stop and tell the user; do not hand-roll the pipeline, because hand-rolled extraction has no deterministic validator gate and risks the one rule above.
Also confirm you are operating inside a Transitrix adopter repository (a transitrix.yaml manifest at the repo root; see MANIFEST) with at least one codex/external/<jurisdiction>/REGULATION-*.yaml or codex/internal/POLICY-*.yaml carrying monitoring_needed: true. If there is no repo yet, the user wants /transitrix:onboard first. If there are no watched codex sources, this skill has nothing to do — the user wants /transitrix:ingest to admit codex artefacts first.
Step 1 — Read the source registry
The "source registry" is the set of codex artefacts the repository already carries, not a separate database. A codex artefact's monitoring_needed, scan.scan_frequency, scan.last_scanned_at, scan.next_scan_due, and (when present) the monitor_instead[] URLs are what the scheduler reads — exactly the operating state defined in 14-codex.md §3.4–3.5. Keeping the schedule embedded in each codex YAML rather than in a sidecar database is deliberate: it makes the scan history auditable via git and lets each source carry its own cadence.
npx @transitrix/reg-intel-cli list-due [--as-of YYYY-MM-DD]
Emits the set of codex artefacts whose scan.next_scan_due <= today (or the supplied --as-of date), grouped by source. A source with monitoring_needed: false is skipped; its monitor_instead[] entries are surfaced as separate scan targets when present. The list is the daily run's input — nothing not on it gets fetched.
One scheduled task, not N. The acceptance criterion is one daily scheduler tick that filters by next_scan_due — not one cron entry per source. Per-source cadence is expressed by scan_frequency on the artefact (daily / weekly / monthly / quarterly, per 14-codex.md §3.5); the scheduler is the same single job either way.
Step 2 — Change-signal gate (the "whether")
Before any fetch of the full source body, the CLI runs a cheap signal check on each due artefact:
Signal source (--method) | What is compared |
|---|
HTTP ETag / Last-Modified response headers (etag / last_modified) | last-seen value in the signal cache |
API "updated" / version field (api_version) | last-seen value |
Source's own "last amended" date (amended_date) | last-seen value |
Hash of a known cheap-to-fetch fragment — TOC, masthead (fragment_hash) | last-seen hash |
The last-seen values live in the operations signal-cache at operations/state/reg-intel/signal-cache.json — committed operational state (per method/02-team-operations.md §3.3), not on the codex artefact (the 14-codex.md §3.5 scan block stays closed) and not in transient _intake/ (the cache must survive a fresh clone / CI checkout for the gate to pay off). The cache is disposable — if it is lost, the gate degrades to "treat as moved / always fetch", never wrong.
The CLI is network-free: the agent/scheduler does the cheap fetch and passes the observed value in via --observed; the CLI does the comparison and the state update. With no signal source available (a plain HTML page with no ETag, no API, no published "last amended" date), pass --accept-no-signal — the gate degrades to "proceed to fetch".
If the signal has not moved: the CLI bumps scan.last_scanned_at to today and scan.next_scan_due to today + scan_frequency. No SEGMENT / CLASSIFY pass, no AMENDMENT — the artefact is reported "checked, unchanged" and dropped from the rest of the pipeline.
If the signal has moved (or there is no cached baseline yet): proceed to Step 3, and the cache baseline advances to the observed value so the next run detects the next move. The signal change alone is not yet an AMENDMENT — a cosmetic re-publication can move Last-Modified without changing any normative text. The AMENDMENT is decided in Step 5 against the snapshot diff, not against the signal. (The scan block is bumped by Step 8 once the moved source's pass completes, not by the gate.)
npx @transitrix/reg-intel-cli check-signal <CODEX-ID> --observed <value> [--method etag|last_modified|api_version|amended_date|fragment_hash]
npx @transitrix/reg-intel-cli check-signal <CODEX-ID> --accept-no-signal
Step 3 — Fetch and snapshot (only if the signal moved)
The agent/scheduler fetches the source's source_url (or each entry in monitor_instead[] when the artefact is static and points at live counterparts) and passes the fetched file to the network-free CLI via --from; the CLI stores a snapshot in _intake/snapshots/:
_intake/snapshots/<CODEX-ID>-<YYYY-MM-DD>.<ext>
Where <ext> follows the source format (.pdf, .html, .json, .xml). The full bytes are fingerprinted (source_hash: sha256:<hex> — the same convention the ingest pipeline uses for field artefacts) and the snapshot is retained for diff and provenance. The new hash is compared to the prior one — the latest prior _intake/snapshots/ capture, falling back to the last snapshot hash in the committed operations cache (operations/state/reg-intel/signal-cache.json) so detection survives a fresh clone / CI checkout. Outcomes: captured (first harvest), changed (normative text differs — advance to Step 4), cosmetic_change (bytes differ but normative text is unchanged — see below), bytes_identical (the publisher re-stamped the file without changing its bytes — the run ends with a "signal moved, bytes identical" entry on the digest).
Fetch preferences and failure handling.
- Prefer APIs / feeds over HTML scraping. When a source publishes a JSON / XML / RSS feed (eCFR API, EUR-Lex CELLAR, Federal Register API, …), use it. HTML scraping is the fallback, not the default — feeds are versioned, structured, and far less prone to cosmetic-diff noise.
- JS-capable fetch. Some regulator portals render content via JavaScript; the CLI's fetch supports a headless-browser mode (
--render js) for these. The mode is opt-in per artefact (recorded as scan.fetch_mode: js on the codex YAML) — the cost is real, so the default stays plain HTTP.
- Source unreachable. A fetch that fails (DNS, HTTP 5xx, timeout, captcha wall) does not bump
next_scan_due — the source remains in the due set for the next tick. The failure is reported on the digest with the error reason; repeated failures (≥ 3 consecutive ticks) escalate the source on the digest as fetch_blocked so an adopter can intervene (proxy, source URL change, robots.txt etc.).
- Cosmetic / sub-threshold diff. When the bytes differ but the normative text is unchanged — the CLI normalises each snapshot (strips markup, scripts, styles, comments, volatile tracker / session ids, and whitespace) and compares the normalised hashes — the outcome is
cosmetic_change: a re-publication that touched boilerplate only. It is logged on the digest and does not advance to Step 4. The normalisation is generic and conservative (it strips markup, never dates or numbers); for a binary format (PDF) it cannot normalise and falls back to byte-level changed (never a wrong "cosmetic" verdict). Visible nav/footer text that a site changes is not stripped generically — that still reads as changed and is filtered at the human gate.
npx @transitrix/reg-intel-cli fetch-snapshot <CODEX-ID> --from <fetched-file> [--ext <ext>]
Step 4 — SEGMENT (slice the source into obligation-bearing chunks)
For each snapshot whose normative text has changed (or for a first-harvest of a source with no prior snapshot), the CLI runs segmentation. A segment is a self-contained passage of regulatory text that contains at least one obligation signal. Each segment becomes one SEGMENT-* field-zone artefact — the canonical TYPE defined in 23-segment.md.
Segmentation rules:
- A segment is obligation-bearing — contains explicit obligation language (the primary signals
must / shall / is required to / must not / shall not / is prohibited from; secondary signals weighted lower with context).
- A segment is self-contained — can be read and understood without the surrounding paragraphs.
- A segment is atomic — covers one distinct obligation. If a paragraph covers three separate obligations ("must register, must list, and must label"), the CLI splits it into three SEGMENTs.
- A segment is not a preamble comment, a comment-and-response, or a definition-only passage with no obligation attached.
Boundaries: start at the sentence containing the obligation signal (or the section heading that introduces a normative block); end at the last sentence of the same normative thought. Numbered list items are separate SEGMENTs when each item is an independent obligation.
Each emitted SEGMENT carries:
- a canonical ID (
SEGMENT-[<middle>-]<INTEGER>, IDS §1; the middle typically encodes the source slug + locator);
source: <CODEX-ID> — the codex artefact this chunk was extracted from (SEGMENT-002);locator: "<source-shaped citation>" — "Art.30(1)(b)", "§164.312(a)(1)", etc.;text_excerpt (the verbatim text, when length and licensing allow) or text_hash (a sha256:<hex> fingerprint when storing the verbatim text is not possible) — at least one is required (SEGMENT-003);extracted_at and an optional source_hash (the whole-source fingerprint at extraction time) so a later amendment is provable against the bytes the segment derived from;- the field-zone admission record with
zone: field, admission_state: proposed, proposed_by: reg-intel-scanner, and gate_checks.provenance: pending_review (per 23-segment.md §3 and the shared pre-admission lifecycle in CONTRACT §6.1).
SEGMENTs are emitted to _intake/processing/segments/ first; the CLI moves them to field/segments/ only after the validator pass in Step 6. They are never auto-admitted.
The CLI is network-free here too: the agent runs the segment prompt over the snapshot and emits { segments: [...] }; the CLI shapes that result into SEGMENT artefacts (assigning canonical ids per the source slug, the field-zone proposed admission record, text_hash from the excerpt, and source / source_hash derived from the snapshot). A segment missing a locator or any text is flagged and skipped, never silently emitted.
npx @transitrix/reg-intel-cli segment <_intake/snapshots/<CODEX-ID>-<DATE>.<ext>> --from <result.json> [--source <CODEX-ID>]
Step 5 — CLASSIFY (CONSTRAINT vs REQUIREMENT, with the default rule)
For each emitted SEGMENT, the CLI derives one canon candidate — a proposed REQUIREMENT-* or CONSTRAINT-* artefact whose derived_from cites the SEGMENT (and through it, the codex source). The decision tree:
Is the passage establishing a classification, definition, or scope boundary?
YES → CONSTRAINT (type: DEFINITIONAL)
Example: "IVDs are devices including when the manufacturer is a laboratory"
Is the passage a prohibition (what the org MUST NOT do)?
YES → CONSTRAINT (type: PRODUCT or PROCESS depending on subject)
Example: "A device may not be commercially distributed without premarket approval"
Is the passage a positive obligation (something the org MUST actively do)?
YES → REQUIREMENT ← the default rule
Then: what kind of action?
- Register / list / notify a government body → REQUIREMENT (ORGANIZATIONAL)
- Submit a report, file, or application → REQUIREMENT (REPORTING / PRODUCT)
- Establish / maintain a process or system → REQUIREMENT (PROCESS)
- Ensure a product has specific properties → REQUIREMENT (PRODUCT)
- Keep records / maintain documentation → REQUIREMENT (DOCUMENTATION)
The positive-obligation → REQUIREMENT branch is the CLASSIFY default. Authoring guidance for CONSTRAINT vs REQUIREMENT lives in the per-notation specs (15-requirement.md); the skill encodes that guidance as a deterministic default so the same passage classifies the same way across runs and across agents.
Obligation level (RFC 2119) is mapped straight from the source language: must / shall / is required to → SHALL; should / is expected to / recommends → SHOULD; may / at its discretion → MAY; must not / shall not / is prohibited from → SHALL_NOT.
Each candidate carries:
- a canonical ID (
REQUIREMENT-[<middle>-]<INTEGER> or CONSTRAINT-[<middle>-]<INTEGER>);
derived_from: [<SEGMENT-ID>] — the typed link back to the SEGMENT (and through it, to the codex source);source_text — the verbatim segment text, retained for human review;- an
extraction_confidence flag (high | medium | low) — separate from source_quality (see § Two axes of trust below);
- the canon admission record with
admission_state: proposed, proposed_by: reg-intel-scanner, and gate_checks left for the human to complete.
Ambiguity is not silently resolved. A segment that the classifier cannot confidently place is emitted with extraction_confidence: low and ambiguous_alt carrying the other shape — surfaced on the digest with both the CONSTRAINT and REQUIREMENT classifications — the human picks. Forcing a deterministic answer on an ambiguous obligation is the path to a quietly wrong canon.
Network-free: the agent runs the classify prompt over the staged SEGMENTs and emits { candidates: [...] }; the CLI shapes that into proposed REQUIREMENT-* / CONSTRAINT-* candidates (canonical ids per the source slug, derived_from citing the SEGMENT, obligation_level + category, gate_checks left pending for the human). A candidate is a pre-admission draft: derived_from cites the SEGMENT (a human resolves it to the codex source at admission, per 15-requirement.md), and obligation_level is carried as extraction metadata (REQUIREMENT v1 defers it, 15-requirement.md §5). A candidate with an unknown kind or no derived_from is flagged and skipped.
npx @transitrix/reg-intel-cli classify <_intake/processing/segments/> --from <result.json>
Step 6 — Validate (coverage-profile aware)
Every staged SEGMENT and every canon candidate is run through the canonical validators — ID grammar, TYPE registry, and the SEGMENT / REQUIREMENT / CONSTRAINT field rules (SEGMENT-001..008, the REQUIREMENT / CONSTRAINT rules in their specs). SEGMENT-002 resolves each SEGMENT's source against the repo's codex/ (TYPE must be LAW / REGULATION / POLICY / INTERNAL_STANDARD); SEGMENT-004/005 check parent nesting within the staged batch.
npx @transitrix/reg-intel-cli validate [org-root] [--json]
Out-of-profile or invalid candidates are flagged with an actionable, coded reason (e.g. [SEGMENT-002/error]) — not silently emitted, and not silently dropped. A flagged artefact is a review-digest item, not a rejection; the command exits 1 when anything needs review, 0 when the batch is clean.
Coverage-profile awareness is deferred. SKILL intent is to also check each candidate's TYPE against the adopter's coverage profile. The coverage resolver currently lives only in the ingest CLI; sharing it (a common package) rather than duplicating it is a separate refactor. Until then validate covers the contract + grammar checks; coverage is confirmed at the human gate.
Step 7 — AMENDMENT (when an existing source drifted)
When the snapshot in Step 3 differs from the prior snapshot of a source that already has admitted canon obligations, the CLI emits a single AMENDMENT-* field artefact per detected change set, alongside any newly-extracted SEGMENTs. The canonical TYPE is defined in 22-amendment.md; the AMENDMENT records the detection event, not the response.
Each emitted AMENDMENT carries:
source: <CODEX-ID> — the codex artefact that was amended (AMENDMENT-002);change_description — a longer-form description of what moved (the editorial trail of the diff);detected_at — today; amended_at — the source's published amendment date, when the source exposes one;segment_refs: [<SEGMENT-ID>, …] — the SEGMENTs the amendment touched (whether newly extracted in this run or pre-existing ones whose hash changed) — the structured replacement for the legacy free-text source_section (AMENDMENT-007);likely_impacted: […] — typed IDs of canon elements (REQUIREMENT / CONSTRAINT / PROCESS / …) the diff suggests may need re-examination. Hints, not commitments — the authoritative impact set is whatever canon CHANGE / Gap elements a human authors in response, and back-links to this AMENDMENT via motivates: [CHANGE-…];motivates: [] — empty on first emission. A human fills it during adjudication;- the field-zone admission record with
zone: field, admission_state: proposed, proposed_by: reg-intel-scanner, and gate_checks.provenance: pending_review.
AMENDMENT is the field-zone TYPE, not CHANGE-*. Canon CHANGE-* is reserved for the organisation's planned delta (an ArchiMate Gap — what the organisation will do to close the resulting compliance gap), per IDS_AND_REFERENCES.md §3.1. The scanner emits the external fact (AMENDMENT); the human authors the response (canon CHANGE).
The agent supplies the change_description (the editorial trail of the diff) and any likely_impacted hints; the CLI shapes the AMENDMENT, assigning the canonical id, detected_at, the proposed admission record, and — unless overridden — auto-collecting segment_refs from the run's staged SEGMENTs of this source (the structured replacement for source_section). motivates is always empty on emission; a human fills it. A static (monitoring_needed: false) source is rejected.
npx @transitrix/reg-intel-cli amendment <CODEX-ID> --change "<what moved>" [--likely-impacted ID,ID] [--amended-at YYYY-MM-DD]
Step 8 — Update the codex scan block
After a successful pass — whether signal-unchanged, fetch-failed, snapshot-identical, or full SEGMENT / CLASSIFY / AMENDMENT — the CLI updates the codex artefact's scan block (14-codex.md §3.5):
scan:
last_scanned_at: "<today>"
next_scan_due: "<today + scan_frequency>"
change_detected: <true | false>
change_description: <one-line summary | null>
review_needed: <true | false>
The scan block is the codex side of the detection. The structured field-zone record is the AMENDMENT (Step 7); the two are complementary. review_needed: true is set whenever there is anything for a human to adjudicate — a new AMENDMENT, new SEGMENTs, new candidates, or a validator flag. review_needed: false means the scan ran cleanly and produced nothing requiring a human.
Do not modify any other field on the codex artefact. The scan block is operating state; the rest of the codex YAML is content owned by the codex admission gate.
npx @transitrix/reg-intel-cli update-scan <CODEX-ID>
Step 9 — Produce the review digest
npx @transitrix/reg-intel-cli digest [--run-id <id>] # → review-digest.yaml
The digest is the human gate. For each source touched in the run, it lists:
- The signal-check outcome (
unchanged / moved / no-signal / fetch_failed / cosmetic_change);
- The snapshot identity (
source_hash, snapshot file path);
- Each emitted SEGMENT (ID, locator, excerpt or hash,
extraction_confidence);
- Each emitted REQUIREMENT / CONSTRAINT candidate (ID, classification, source_text, derived_from,
extraction_confidence, any validator / coverage flags);
- Each emitted AMENDMENT (ID, change_description, segment_refs, likely_impacted);
- The updated
scan block, before / after;
- A summary tally (
due: N · checked: N · unchanged: N · moved: N · failed: N · proposed: SEGMENT N / REQUIREMENT N / CONSTRAINT N / AMENDMENT N).
The digest is read by a human, who then either runs the canon / field admission gates to admit candidates (flipping proposed → active) or records rejections (proposed → rejected with a rejection_reason) — per the pre-admission lifecycle in CONTRACT §6.1. The skill does not flip those states itself.
The run loop, end-to-end
list-due (Step 1)
↓
for each due CODEX-ID:
check-signal (Step 2)
↓ unchanged ─────────────────→ update-scan (next_scan_due bump only); add to digest tally; continue
↓ moved (or no-signal)
fetch-snapshot (Step 3)
↓ failed ────────────────────→ update digest (fetch_failed); do NOT bump next_scan_due; continue
↓ bytes identical ───────────→ update-scan; add "signal moved, bytes identical" to digest; continue
↓ cosmetic_change ───────────→ update-scan; add to digest; continue
↓ normative text moved
segment (Step 4)
↓
classify (Step 5)
↓
validate (Step 6)
↓
amendment (only if prior canon obligations cite this source) (Step 7)
↓
update-scan (Step 8)
↓
digest (Step 9)
↓
[ human reviews digest; admits or rejects per CONTRACT §6.1 ]
The whole loop is one daily scheduler tick. Per-source scan_frequency decides which sources land in list-due on any given day; the loop body is the same.
Two axes of trust — never merged
source_quality — trust in the source, on the codex / field artefact's admission record. A codex artefact is authoritative by construction and carries no source_quality (per 14-codex.md). A SEGMENT / AMENDMENT extracted by a scanner reading the canonical regulator URL is typically authoritative; a human transcribing a press summary might be single_source. The closed set is authoritative / corroborated / single_source / unverified (CONTRACT §11.2).extraction_confidence — "did the model read the segment and classify it correctly". A separate review flag on each candidate and SEGMENT. It surfaces in the digest and is never folded into source_quality and never persisted into canon (CONTRACT §11.8).
Different questions, different fixes (replace the source vs. re-read the segment). The schemas keep them in separate fields; collapsing them is a defect.
The CLI
All deterministic behaviour lives in @transitrix/reg-intel-cli — registry read, signal check, fetch, snapshot, segmentation, classification, validator pass, AMENDMENT emission, scan-block update, digest assembly. This keeps the deterministic guarantees independent of which agent drives the skill (the same principle as the methodology's CI validators and the ingest skill's CLI): neither Claude nor Copilot reimplements the logic, and both get identical results.
The CLI is resolved as a published package (installed / invoked via npx), not vendored per skill and not referenced by a sibling path — a sibling-path reference would dangle when only this skill directory ships into a Copilot .github/skills/ install. Its subcommands are the contract above: list-due, check-signal, fetch-snapshot, segment, classify, validate, amendment, update-scan, digest.
_intake/ (the operational workspace) is shared with the ingest skill — _intake/inbox/ for raw drops, _intake/processing/ for in-flight artefacts and candidates, _intake/snapshots/ for source snapshots, _intake/processed/ for completed runs. In v0 the convention is skill-local (documented here and in the ingest skill's templates/_intake.README.md), not yet reserved in the methodology MANIFEST/CONTRACT.
Running it on a schedule
templates/ holds the operational scaffolding an adopter copies in to run the scan as one daily job (templates/README.md indexes it): reg-intel-daily.sh (the driver — list-due → per-due check-signal → fetch-snapshot → an agent-extraction hook → update-scan, then validate + digest), a systemd service + timer (one tick, not one-per-source), fetch-recipes.md (per-source-family fetch guidance — APIs/feeds first), and the _intake/snapshots/ README. The driver runs the deterministic + state steps and delegates the cheap signal fetch, the body fetch, and the segment/classify extraction to hooks (a fetch helper + this SKILL under Claude / Copilot). Per-source URLs / keys live in operations/config/reg-intel/ (method/02-team-operations.md §3.3).
Portability — Claude + GitHub Copilot
This skill is one shared SKILL.md in the converged Agent Skills format. It is auto-loaded by Claude (as /transitrix:reg-intel) and picked up by Copilot from .github/skills/reg-intel/ or ~/.copilot/skills/reg-intel/. Discipline that keeps it portable:
- All heavy logic is in the CLI, not in agent-specific tool calls.
- This
SKILL.md is agent-neutral — it references the CLI and the procedure, with no Claude-only or Copilot-only assumptions.
- The skill directory is self-contained: prompts and schemas live in the bundle, never referenced from a sibling skill.
Scope guards — what this skill does NOT do
- It does not write to
canon/. Ever. It emits candidates and a digest; a human admits.
- It does not auto-flip an existing
active canon element to deprecated / retired / superseded. Re-classifying an existing obligation after an amendment is a human decision; the skill surfaces the AMENDMENT and the affected canon IDs, never edits them.
- It does not discover new codex sources. A URL is in scope iff it is the
source_url of an admitted codex artefact or appears in its monitor_instead[]. Discovering new sources is a separate human-driven harvest.
- It does not follow links within fetched pages to crawl outward.
- It does not scan sources outside the adopter's coverage profile or jurisdiction policy.
- It does not scan Russia-based or Russia-disinfo sources — a project-level constraint that survives source selection.
- It does not fold
extraction_confidence into source_quality, or persist either extraction-confidence value into canon.
- It does not interpret legal ambiguity — an ambiguous passage gets
extraction_confidence: low and surfaces on the digest with both classifications flagged; the human picks.
