verifying-review-findings SKILL.md skillA

verifying-review-findings from oaustegard/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add oaustegard/claude-skills/verifying-review-findings@v0.1.1

Pins v0.1.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
oaustegard/claude-skills
Path
plugins/ai-and-reasoning/skills/verifying-review-findings/SKILL.md
Versions recorded
2
Latest version
v0.1.1, committed Nov 7, 2026
First version recorded
Nov 7, 2026
Size
12,249 bytes
Repository stars
158
License
MIT

Checks each finding from a code review against the code it cites and keeps only the ones that hold. Drops findings whose quoted code is not in the file, then asks TypeSafe's Jev decision model whether the code shown really has the claimed defect, returning P(confirmed), P(refuted), a severity distribution and whether the proposed fix works. Use for "verify these review findings", "filter false positives from the review", "is this bug real", "double-check the reviewer's claims…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Verifying review findings

A model that reviews code for defects also invents them: it misreads a guard
ten lines up, a loop bound, or a lock the caller holds. This skill splits the
review into two roles, as the open-source reviewer bluesky-social/roast does.
A **finder** (you, the `code-review` skill, any reviewer) writes each finding
with a verbatim quote of the code it is about. A **verifier** from a different
model family then reads that code and confirms or refutes the claim.

The verifier is Jev, a decision model from TypeSafe. It answers typed questions
(yes/no, multiple choice, ordered scale) with a probability for every answer in
about 0.3 s. Jev is not a Claude model, so when Claude finds and Jev verifies,
the verifier is less likely to share the finder's blind spots. Below,
P(x) means the probability Jev gives to answer x.

`scripts/verify.py` does the following for each finding:

1. **Grounding.** The quote must occur in the file, compared with runs of
   whitespace collapsed. A finding with no quote, or a quote that is not in
   the file, is dropped before Jev sees it.
2. **The window.** The verifier sees a *window* of the file: the top-level
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add oaustegard/claude-skills/verifying-review-findings@sha256:2f67fc7456939d70

The line at the top of this page pins the label v0.1.1, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_75tdeiii4itculiq.svg)](https://markdownregistry.com/a/art_75tdeiii4itculiq)

0 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, all committed on Nov 7, 2026.

versioncommittedcommitsizeaudit
v0.1.1 latest2026-11-07 2ef3d1f 12,249 BA view · diff
v0.1.02026-11-07 0863ba6 10,109 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (12249 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

oaustegard/claude-skills · 158 stars · license MIT · pushed 2026-11-07 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_75tdeiii4itculiq
GET https://markdownregistry.com/api/v1/resolve?ref=oaustegard/claude-skills/verifying-review-findings
GET https://markdownregistry.com/api/v1/blob/2f67fc7456939d70001b62d39b8e9b412a50e3aa48452f1d3d9370a282d68812

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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