openlore-debug

name	openlore-debug
description	Debug a problem by anchoring root-cause analysis in openlore structural knowledge. Uses orient + search_specs + analyze_impact to form an explicit hypothesis before reading code. Enforces RED/GREEN test verification.
license	MIT
compatibility	openlore MCP server

openlore: Debug

When to use this skill

Trigger this skill when the user reports a bug or unexpected behaviour on a codebase that has openlore analysis available, with phrasings like:

• "this is broken"
• "X is not working"
• "something is wrong with Y"
• "debug this"
• explicit command /openlore-debug

The rule: form an explicit hypothesis before reading any code. Do not browse files speculatively.

Prerequisite: openlore analysis must exist (openlore analyze has been run). If orient returns "error": "no cache" → run analyze_codebase first, then retry.

---

Step 1 — Reproduce

Ask the user for:

1. Steps to reproduce — minimal sequence that triggers the bug
2. Expected behaviour — what should happen
3. Observed behaviour — what actually happens
4. $PROJECT_ROOT — project root directory

Do not proceed to Step 2 until all four are known.

If the user cannot reproduce the bug reliably, note it and proceed anyway — but flag that the fix may be speculative until reproduction is confirmed.

Capture:

• $BUG_DESCRIPTION — one-line summary of the symptom (e.g. "payment retry does not reset counter after success")
• $REPRO_STEPS — reproduction sequence

---

Step 2 — Orient

Call the openlore MCP tool orient with:

{
  "directory": "$PROJECT_ROOT",
  "task": "$BUG_DESCRIPTION",
  "limit": 7
}

Extract:

• $CANDIDATE_FUNCTIONS — top 3–5 functions structurally related to the symptom
• $DOMAINS_AFFECTED — spec domains involved
• $CALL_PATHS — call chains relevant to the symptom

---

Step 3 — Search specs

If openspec/specs/ exists:

Call the openlore MCP tool search_specs with:

{
  "directory": "$PROJECT_ROOT",
  "query": "$BUG_DESCRIPTION",
  "limit": 5
}

Look for:

• Documented constraints that the buggy behaviour violates
• Requirements that define what "correct" means for $DOMAINS_AFFECTED
• Known edge cases documented in the spec that may explain the symptom

If no specs exist, skip this step and note the absence.

---

Step 4 — Isolate and hypothesize

For the top 2 candidate functions from Step 2, get minimal context first (callers, callees, body, test coverage in one call):

// get_minimal_context
{
  "directory": "$PROJECT_ROOT",
  "functionName": "$CANDIDATE_FUNCTION"
}

Then check structural properties:

// analyze_impact
{
  "directory": "$PROJECT_ROOT",
  "symbol": "$CANDIDATE_FUNCTION",
  "depth": 2
}

If the repro involves a request flow (HTTP request, event, message queue), confirm the call chain before forming the hypothesis by calling the openlore MCP tool trace_execution_path with:

{
  "directory": "$PROJECT_ROOT",
  "from": "$ENTRY_POINT",
  "to": "$CANDIDATE_FUNCTION"
}

This replaces speculative file browsing — the path is structural fact, not inference. Skip if $ENTRY_POINT is unknown or the repro is not request-driven.

Using the call paths, risk scores, spec constraints, and traced path gathered so far, state an explicit hypothesis before reading any code:

"Hypothesis: $FUNCTION does not reset $STATE when $CONDITION because it is called from $CALLER which does not pass $PARAMETER."

The hypothesis must:

• Name a specific function
• State a specific mechanism (state not reset, condition not checked, wrong caller, etc.)
• Be falsifiable by reading the code

Do not read source files before forming this hypothesis.

---

Step 5 — Verify the hypothesis

Read the skeleton of the hypothesised function(s) by calling the openlore MCP tool get_function_skeleton with:

{
  "directory": "$PROJECT_ROOT",
  "filePath": "$TARGET_FILE"
}

Then read the full function body if needed.

Result	Action
Hypothesis confirmed	Proceed to Step 6
Hypothesis refuted	Return to Step 4 with a revised hypothesis (max 3 iterations before asking the user for more context)
Cause is in a caller, not the function itself	Extend analyze_impact one level up, revise hypothesis

Document the confirmed hypothesis explicitly before writing any fix.

---

Step 6 — Fix

Apply the minimal fix that resolves the confirmed hypothesis.

Do not modify functions outside the scope identified in Steps 2–5 without re-running the gate (orient + analyze_impact) on the new scope.

Small model constraint: each edit must touch a contiguous block of at most 50 lines. Split larger fixes into sequential edits.

Do not refactor, rename, or clean up unrelated code while fixing the bug.

---

Step 7 — Verify

RED first (if no existing test covers this case):

Write a test that reproduces the bug using $REPRO_STEPS. Run it. It must fail (RED) — confirming the bug is real and the test is meaningful.

Apply the fix, then run the test again. It must pass (GREEN).

Full suite:

Run the full test suite. If any pre-existing test breaks, fix the regression before closing the bug.

Situation	Action
New test RED → fix → GREEN, suite green	Proceed to Step 8
Cannot reproduce in a test	Note it, apply fix, confirm manually, add a note in the story/issue
Suite regression introduced	Fix regression. Do not proceed.

---

Step 8 — Drift check

Only if the fix changes a documented behaviour:

Call the openlore MCP tool check_spec_drift with {"directory": "$PROJECT_ROOT"}.

Drift type	Resolution
gap on modified function	The spec described expected behaviour that changed — update the spec
stale	Fix the stale reference
uncovered	Not caused by this fix — note it, propose openlore generate
No drift	Proceed to Step 9

---

Step 9 — Spec invariant feedback

Every real bug reveals an invariant that was not documented. Capture it so future agents benefit from this discovery via search_specs.

9a — Identify the invariant

State the invariant that was violated, in one sentence:

"$FUNCTION must always $CONDITION when $TRIGGER — violating this causes $OBSERVED_SYMPTOM."

If the bug was caused by a missing guard, a wrong assumption about caller order, or an undocumented state constraint — that is the invariant.

9b — Locate the spec

Call the openlore MCP tool get_spec with:

{
  "directory": "$PROJECT_ROOT",
  "domain": "$DOMAIN_AFFECTED"
}

9c — Add the invariant

Append to the relevant domain spec under a ### Known Invariants section (create it if absent). Wrap the section in <!-- manual --> / <!-- /manual --> markers so openlore generate preserves it on re-generation:

<!-- manual -->
### Known Invariants

- `$FUNCTION`: $INVARIANT_STATEMENT
  — discovered via bug fix on $DATE, root cause: $ROOT_CAUSE_SUMMARY
<!-- /manual -->

If the domain spec does not exist yet (uncovered from Step 8), note the invariant in the story/issue instead and flag it for the next openlore generate run.

9d — Evaluate cross-cutting scope

Ask: is this bug an instance of a general failure pattern, or specific to this domain?

Signal	Cross-cutting antipattern?
Bug involves an assumption about external state, ordering, or caller contract	Yes
Bug is reproducible in other domains with the same pattern	Yes
Bug is specific to a data invariant in $DOMAIN	No — domain spec only

If cross-cutting, append to .claude/antipatterns.md (if absent, create it with the header from the antipatterns template):

## AP-{NNN} — {pattern name}

- **Class**: {state | concurrency | boundary | assumption | resource | ordering}
- **Symptom**: {what broke — one sentence}
- **Rule**: {detection rule — "When X, always verify Y"}
- **Discovered**: $DATE via $BUG_DESCRIPTION

9e — Inform the user

"Invariant added to openspec/specs/$DOMAIN/spec.md."

If an antipattern was added:

"Cross-cutting antipattern AP-{NNN} added to .claude/antipatterns.md. Future brainstorm and implementation sessions will check this rule."

---

Absolute constraints

• Do not read source code before forming a hypothesis in Step 4
• Hypothesis is mandatory — even when the cause seems obvious
• Do not skip Step 1 (reproduction) — a fix without reproduction is speculation
• Do not touch functions outside the confirmed scope without re-running the gate
• Do not run check_spec_drift before tests are green
• Each edit ≤ 50 lines on small models
• Do not skip Step 9 — every bug fix must produce a documented invariant or an explicit note explaining why no invariant applies