lynxlangya/anchor-repro
Reproduce a behavioral bug before fixing it, record the failing probe, and verify the fix with the same probe. Use for bug reports, failing tests, crashes, hangs, regressions, wrong output, and observable behavior that should change.
npx skills add https://github.com/lynxlangya/techne --skill anchor-repro
Force the skipped move in debugging: observe the bug before editing, then prove
the fix with the same observation.
Use this skill when the task is to correct observable behavior that is currently
wrong: a failing test, error message, stack trace, regression, crash, hang, wrong
return value, wrong render, or "X does Y; it should do Z."
Do not use it for new features, refactors, renames, formatting, docs/copy
changes, dependency bumps without a behavioral symptom, or performance work
without a measurable probe.
Boundary test: can the wrongness be written as "running X currently produces Y;
it should produce Z"? If yes, use this skill and make X the probe seed. If the
statement cannot be formed from current information, ask for or find the missing
observation before editing.
substring of the observable symptom for --expect. Omit heap addresses,
PIDs, timestamps, temp paths, and wrapped fragments. Use --expect whenever
the symptom has stable text. If no stable text exists, --no-stable-expect
is the honest fallback, not an unanchored run; do not use it when stable
textual output exists.
smallest CLI probe that exercises the reported symptom. In workspaces or
monorepos, run from the package with --cwd <package-dir>, not with a
cd ... && convention. If required environment changes matter, encode them
inside --shell as one quoted command string such as
'VAR=... command'; inherited environment changes are not part of probe
identity in v1.
scripts/repro_ledger.py run --project <root> --bug <slug> ... -- <command>.
Read the failing output and confirm it fails for the reported reason:
mechanically, expectMatched should be true when --expect was supplied;
procedurally, inspect the tail/context instead of trusting an exit code.
before stacking edits. If a better probe is needed, the new probe starts a
new fail -> pass cycle and must be observed failing too.
argv vector or shell string, --cwd, and --timeout. Then run
scripts/repro_ledger.py close --project <root> --bug <slug>.
probe into a committed regression test. This is encouraged, not a gate.
close JSON, cite the first repro entry's git evidence,name the strength rung from reference.md, and carry speculative when the
ledger took an unreproduced path.
Run and record a probe:
python3 skills/anchor-repro/scripts/repro_ledger.py run \
--project /path/to/project \
--bug login-crash \
--cwd packages/app \
--expect "TypeError: cannot read" \
--timeout 60 \
-- npm test -- login.test.ts
Verify after the fix:
python3 skills/anchor-repro/scripts/repro_ledger.py run \
--project /path/to/project \
--bug login-crash \
--cwd packages/app \
--expect "TypeError: cannot read" \
--timeout 60 \
-- npm test -- login.test.ts
python3 skills/anchor-repro/scripts/repro_ledger.py close \
--project /path/to/project \
--bug login-crash
Mark an honestly speculative fix only when reproduction is impossible:
python3 skills/anchor-repro/scripts/repro_ledger.py mark-unreproduced \
--project /path/to/project \
--bug customer-only-crash \
--no-probe-possible \
--reason "Requires customer-only data and credentials unavailable in this environment"
The ledger writes target-project artifacts under .techne/repro/ and
idempotently adds .techne/ to the target project's .gitignore. Do not commit
.techne/ output.
explicit mark-unreproduced path.
not a reproduction.
their own fail -> pass cycle.
close does not exit 0 with averified same-probe summary.
Take lynxlangya/anchor-repro from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.