* Add poka-yoke skill: make misuse unrepresentable rather than warned against
Mistake-proofing, applied to code. The skill pushes toward devices that make
a wrong action impossible or self-announcing, rather than instructions asking
someone to avoid it, and refuses to accept a comment or a convention as a fix.
The gap it addresses. Given a design, models readily list what to fix and
rarely state what the fix makes impossible. Measured across 591 blind-graded
runs and six model families, responses named the foreclosed set 42% of the
time unprompted and 81% with this skill applied. Assertions were written
before the runs and graded blind to configuration.
Stated with its limits, because they matter: every run was the first turn of
a fresh session, so this measures the ceiling rather than what survives a
long working session; the comparison was against no methodology rather than a
different one, so it does not establish that this particular method caused
the gain; and the skill costs something measurable, making responses somewhat
worse at spotting the specific defect already on the page while better at
changing the shape that allowed it. All of that is in the skill body rather
than omitted.
Bundled, all self-contained, no network access and no dependencies:
scripts/detect_hazards.py standard-library scanner, 42 pattern rules
across 20 hazard shapes, five languages
references/hazard-catalog.md the taxonomy with device per shape
references/lang-*.md Python, TypeScript, Go and Rust patterns
Verified with npm run skill:validate and npm run build. Raw benchmark runs,
the harness and the assertion checklists are public at
https://github.com/rainmanjam/poka-yoke
* Rename HasTable to HasFrom in the TypeScript typestate example
codespell failed the PR: it reads HasTable as a misspelling of hashtable.
The identifier is a legitimate generic parameter on a typestate builder,
QueryBuilder<HasTable, HasWhere>, so this is a false positive, but it is our
file breaking their gate and the fix costs nothing.
HasFrom is also the better name: the flag tracks whether .from() has been
called, not whether a table exists.
Renamed in the upstream repository too, so the two copies do not diverge on
day one. Verified the whole bundle is codespell-clean locally.
* Correct the effect figures in the poka-yoke skill
The submitted numbers (42% -> 81%) could not be reproduced from the upstream
gradings. Recomputed over the six models the sentence describes: 45% -> 80%
across 132 verdicts. Adds the per-scenario breakdown, which is the more useful
claim: the gains are in tasks where nobody asked for a design review.
