ledger

name	ledger
description	Render the Crucible calibration ledger weekly report — the honest "Crucible caught N silent bugs" headline, verdict breakdown, per-skill severity rates, and the inflation detector. Triggers on "/ledger", "weekly report", "weekly ledger", "caught N", "quality ledger", "calibration report", "render the ledger".
origin	crucible

Ledger weekly renderer

Renders docs/ledger/weekly-YYYY-Www.md from the central ledger ~/.claude/crucible/ledger/runs.jsonl (override CRUCIBLE_LEDGER_DIR; plus falsification.jsonl beside it for the cross-link). The SKILL.md is a thin prompt wrapper; the source of truth is the testable Python core at scripts/render_ledger.py. Reports are written to docs/ledger/ relative to your cwd — run from the crucible repo to update the committed reports.

Skill type: Utility — direct execution, no subagent dispatch.

Trigger

Manual /ledger [--weeks N] (default N=1, the most recent ISO week).

What it does

Invoke the renderer directly. Resolve scripts/render_ledger.py by absolute path from the plugin root (it self-locates its own modules via __file__, so no PYTHONPATH is needed and it runs from any cwd):

python3 <plugin_root>/scripts/render_ledger.py --weeks N

That command:

1. Reads the central ledger ~/.claude/crucible/ledger/runs.jsonl (the --ledger default; CRUCIBLE_LEDGER_DIR overrides). First-time-ever: if the file is MISSING, print "no ledger data yet" and exit 0 — do NOT write an empty report.
2. Groups entries by ISO week (YYYY-Www).
3. For each of the most-recent N weeks, writes docs/ledger/weekly-YYYY-Www.md.

Algorithm summary

• Tolerant load (load_runs): skips blank / malformed / partial-trailing lines, dedups defensively by (run_id, skill) latest-position-wins.
• Honest "caught N" headline (caught_count): counts entries with would_have_shipped_without_gate == true, EXCLUDING backfilled == true. Backfilled entries carry severity_histogram: null ⇒ WHS null (the mechanical L-3 rule) and are reported in a SEPARATE "Backfilled historical context" section — never in the headline (L-5). This is what test T-5 asserts.
• Per-skill significant_rate / fatal_rate (week_summary): computed from forward-captured entries only (backfilled == false AND severity_histogram != null). Raw rates are printed from week 1.
• Inflation detector (§4a) (inflation_alert): alerts when a skill's significant_rate or fatal_rate exceeds 3× its 4-week rolling median. Silent for a skill until 4 weeks of forward data exist (the v1 bootstrap — with no forward history yet, the detector is silent, but raw rates still print so a human can eyeball drift).
• Falsified cross-link (falsified_count): the all-time count of falsified verdicts via the L-9 latest-entry-wins reduction over falsification.jsonl (scripts.ledger_reduce.reduce, the canonical helper cited above). Graceful degradation: if falsification.jsonl is absent (Phase 4 reconciler not built yet), the reduction returns {} ⇒ count 0; the renderer never crashes.
• Monthly spot-check (§4a): on the first /ledger run of a calendar month, the report appends an advisory checklist prompting a spot-check of 5 random would_have_shipped_without_gate: true entries against skills/shared/severity-rubric.md.

Commit citations

Design §4 calls for "findings with commit citations". The v1 schema has no commit field (artifact_hash is null for backfill). So:

• Backfilled entries (backfill-<PR>-quality-gate) cite PR #<PR>, extracted from the deterministic run_id.
• Forward entries (UUIDv7 run_id) have no commit in v1 ⇒ the citation is omitted gracefully. No SHAs are invented. A future schema rev capturing the gating commit can replace this with a real SHA.

Honest-count rule (binding)

The headline is would_have_shipped_without_gate == true minus backfilled. Backfilled entries seed the corpus but never inflate the caught-N number; they appear only in the separate historical-context section. Inflation drift is defended structurally (the 3× detector) and culturally (the monthly spot-check).