hook-transcript-fixture-test
Skill9 starsChanged 7 months agoMITView on GitHub
Ship any hook that parses transcripts, turn origin, or session state with fixture tests against CAPTURED REAL transcript samples — never the assumed shape. Use when creating or editing hooks that read transcript JSONL, classify turn types, or detect model output patterns (enhance guards, stop guards, turn-origin classifiers) — and when a guard hook misfires/false-positives, use THIS (capture the misfiring shape as a fixture first), not generic debugging; /systematic-debugging and /fix-loop come after the fixture reproduces the misfire.
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The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 10 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈10
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 38
Add any shape your specific hook introduces.
- Distinctive: line 75
Run the tests; every matrix row must have at least one passing fixture test — or a documented-gap skipped test per STEP 2 for shapes that …
- Distinctive: line 82
When the shipped hook misfires in a live session: FIRST excerpt that session's real transcript into a new fixture reproducing the misfire, …
- Distinctive: line 92
Always cover every negative shape in STEP 1's matrix — Why: 430+ logged guard misses and ~13 fix commits (as of 2026-07) came from firing …
- Distinctive: line 94
Always capture fixtures from real transcripts, not from the format documentation or memory — Why: the documented/remembered shape is …
- Distinctive: line 96
Always exercise the hook through its platform I/O contract (stdin JSON, exit codes) — Why: parse bugs at the boundary (field renames, …
- Distinctive: line 99
Always add a reproducing fixture BEFORE fixing a live misfire — Why: fixes without regression fixtures caused the same guard to break a …
- Distinctive: line 104
MUST NOT ship a transcript-parsing hook with zero fixture tests — write the STEP 3 minimum first — Why: every unfixtured guard in this …
- Distinctive: line 107
MUST NOT assert on mid-turn model text next to tool_use blocks — assert on the final submission instead — Why: mid-turn text may never …
- Very specific: line 110
MUST NOT classify turn origin by content heuristics when a deterministic marker exists — use the marker/SSOT classifier — Why: duplicated …
- Distinctive: line 113
MUST NOT delete or loosen a failing fixture to make a fix pass — fix the hook or consciously supersede the fixture with a captured newer …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Hook Transcript Fixture Test
Transcript-parsing hooks are this hub's single most-churned mechanism: ~13 fix commits over one month on the enhance/over-ask guard family (as of 2026-07), nearly all the same defect — the hook was built on an ASSUMED transcript shape and a real shape broke it (slash commands write TWO user entries, a marker and a marker-less body; mid-turn text beside tool_use may never persist; machine-origin turns look like user turns). Every one of those false-positive cycles was preventable by testing against captured real samples before shipping.
STEP 1: Enumerate the Turn-Shape Matrix the Hook Branches On
List every turn/transcript shape the hook's logic distinguishes. Minimum viable matrix for a turn-classifying hook:
| Shape | Known trap |
| Human free-text prompt | baseline |
| Slash command | TWO user entries: <command-name> marker + a marker-less body — naive "last user entry" reads the body and misclassifies |
| Skill-execution turn | skill content arrives as a user-role entry that is not human-typed |
| Machine-origin turn (task-notification, scheduled wakeup, system-reminder-only) | not human-typed; ceremony/enforcement must not fire |
| Model turn with parallel tool_use | mid-turn text blocks beside tool_use may never persist to the transcript — a guard asserting on them false-positives |
| Final-submission vs last-entry | guards must read the final SUBMISSION, not the last JSONL entry |
Add any shape your specific hook introduces. Each matrix row becomes at least one fixture.
STEP 2: Capture Real Samples
Pull REAL transcript excerpts for each row — from live session JSONL under
~/.claude/projects/<project-dir>/ (main sessions and subagent transcripts; <project-dir> is
the project path with separators flattened to dashes, e.g. D--Abhay-VibeCoding-myrepo), or by
generating the shape live (run a slash command, trigger a notification) and then excerpting.
- Trim to the minimal entries that exercise the branch (a handful of JSONL lines).
- Anonymize: strip real prompts/PII, keep the STRUCTURE (roles, markers, field names) byte-exact.
- Store under
scripts/tests/fixtures/transcripts/<shape-name>.jsonl(create the directory on first use; or follow the project's existing fixture convention). - A shape you cannot generate locally (e.g. a scheduled-wakeup turn before any routine exists) is recorded as a DOCUMENTED GAP: add a skipped test naming the missing shape and the capture condition — never hand-fabricate the fixture to fill the row.
Hand-writing a fixture from memory of the format defeats the entire point — the format in your memory IS the assumed shape that keeps being wrong.
STEP 3: Write the Fixture Tests
For each fixture, a test that runs the hook's parse/classify path against the file and asserts the decision:
- FIRST identify the target hook's ACTUAL I/O contract — hooks in one repo differ (some read JSON on stdin per the platform hook contract; some are sourced libraries taking function arguments; some read env vars). Read the hook's own input handling before writing the harness.
- Positive cases — shapes where the hook SHOULD act (the real violation it exists to catch).
- Negative cases — every shape where it must stay silent (slash, machine-origin, skill-execution, sanctioned-banner-present). False positives are this hook family's dominant defect, so negative cases carry most of the value.
- Invoke the hook through that contract as the platform does (stdin JSON / args / env), not by sourcing internal functions only — the I/O boundary is part of what breaks.
STEP 4: Run the Matrix and Wire Into the Suite
Run the tests; every matrix row must have at least one passing fixture test — or a documented-gap
skipped test per STEP 2 for shapes that cannot be generated locally — before the hook ships. Wire into the standing test suite (scripts/tests/) so the NEXT edit to the hook re-runs
the whole matrix — the churn record shows each fix for one shape regressed another until fixtures
held the line.
STEP 5: On Any Live False-Positive, Capture Before Fixing
When the shipped hook misfires in a live session: FIRST excerpt that session's real transcript
into a new fixture reproducing the misfire, THEN fix against it. Locate the session file by its
session id under ~/.claude/projects/<project-dir>/ (the misfire report or hook log usually
carries the id; otherwise take the newest JSONL there) and excerpt the FULL turn — all entries
belonging to that turn, not just the single line that looks wrong, since misclassification
usually spans adjacent entries. The failing fixture is the regression guard; a fix without it
re-enters the fix-the-fix loop.
MUST DO
- Always cover every negative shape in STEP 1's matrix — Why: 430+ logged guard misses and ~13 fix commits (as of 2026-07) came from firing on shapes that should have been exempt
- Always capture fixtures from real transcripts, not from the format documentation or memory — Why: the documented/remembered shape is precisely the assumption that has repeatedly been wrong
- Always exercise the hook through its platform I/O contract (stdin JSON, exit codes) — Why: parse bugs at the boundary (field renames, missing keys) don't show when testing inner functions directly
- Always add a reproducing fixture BEFORE fixing a live misfire — Why: fixes without regression fixtures caused the same guard to break a previously-fixed shape at least twice
MUST NOT DO
- MUST NOT ship a transcript-parsing hook with zero fixture tests — write the STEP 3 minimum first — Why: every unfixtured guard in this hub's history entered a multi-PR false-positive fix cycle
- MUST NOT assert on mid-turn model text next to tool_use blocks — assert on the final submission instead — Why: mid-turn text may never persist to the transcript; guards on it false-block correct behavior
- MUST NOT classify turn origin by content heuristics when a deterministic marker exists — use
the marker/SSOT classifier — Why: duplicated ad-hoc classification drifted between two hooks
until a shared
classify_turn()was extracted - MUST NOT delete or loosen a failing fixture to make a fix pass — fix the hook or consciously supersede the fixture with a captured newer shape — Why: a weakened fixture is a silently weakened gate (the exact class the weakened-test hunter exists to catch)
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