agentsclimarketplace

Mistake bank

Skill szsip239/peter-zhou/skills/peter-zhou/mistake-bank

Peter Zhou: 周伯通和 Peter Pan 的合体，一个面向学生的超级老师综合 skill

Install
npx -y skills add szsip239/peter-zhou --skill mistake-bank

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Store, validate, review, confirm, and query Peter Zhou mistake-bank records. Use for RawMistakeRecord persistence, SourceDocument status, is_wrong review, id allocation, crop refs, and script-owned JSON writes.

SKILL.md

1.4 KB, as published. Nobody here has run it

Mistake Bank

Use this subskill when a recognized result must become canonical local data.

Core contract:

  • Persist one JSON file per subject under the mistake bank.
  • Keep SourceDocument state separate from subject mistake records.
  • Keep is_wrong=false records for audit, but exclude them from final stats and practice by default.
  • Generate review reports from canonical data; do not persist separate long-lived review tables.
  • Allocate ids and write JSON only through scripts/allocate_id.py and scripts/json_store.py; see references/schema.md.
  • After every successful scripts/intake_recognition.py ingest, present the returned review_report as the next skill step for user review. Focus the user on needs_review=true, low-confidence answers, ambiguous teacher marks, and crop screenshots. If the user does not review, leave the source status as processed; only apply-review --confirm moves it to confirmed.
  • Use scripts/intake_recognition.py review-report to regenerate the same derived report, apply-review for user corrections/confirmation, and repair-crops for script-owned screenshot bbox fixes.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.