Anchor Vet

What it does

When your agent uses it

• An AI reviewer must review a concrete git-anchored diff
• Judge whether code is safe to merge
• Inspect a PR URL
• Cross-examine PR

Example prompts

• “/anchor-vet”

Requirements

• Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

1. 1Anchor the scope. Check out the reviewed head locally. Capture external
2. 2Read every hunk. Inspect the full diff and every hunk in scope.json.
3. 3Walk the blast radius. For each candidate symbol, read the references
4. 4Account weak or symbolless hunks. For weak/symbolless hunks, use a
5. 5Cross-examine claims. Disposition every anchored claim id from
6. 6Hunt findings with severity honesty. Use only blocking, concern, and
7. 7Write and check review.json. Run
8. 8Render the verdict through the gate. Run

What it can do on your machine

Read from SKILL.md and the folder at commit 56bbe71. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 1 file in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python3

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Anchor Vet loads about 1.3k tokens when it runs. Until then it costs about 121 tokens; SKILL.md has 534 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~121

When it runs · the whole SKILL.md, loaded when a task matches

~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from lynxlangya/techne at commit 56bbe71, republished under its MIT licence (© lynxlangya). 534 words, ~1,275 tokens.

name

anchor-vet

description

Evidence-gated diff review for PRs, branches, commit ranges, staged code changes, and merge readiness checks. Use when an AI reviewer must review a concrete git-anchored diff, judge whether code is safe to merge, inspect a PR URL or branch, cross-examine PR or commit claims, account blast radius, or render approve/request-changes/blocked verdicts. Do not use for design-only review, whole-codebase audits, bug fixing, or code authoring without a git diff under judgment.

.techne/review/<slug>/
  scope.json    # computed by init
  review.json   # authored by the reviewer
  report.json   # computed by check
  verdict.json  # computed by close

{
  "schema": "techne.vet/1",
  "symbols": [
    {
      "id": "s-...",
      "symbol": "changedName",
      "disposition": "reviewed",
      "refs": [
        {
          "file": "src/caller.py",
          "line": 42,
          "effect": "unaffected",
          "note": "caller passes the same contract"
        }
      ]
    }
  ],
  "hunks": [],
  "claims": [
    {
      "ids": ["c-..."],
      "disposition": "verified",
      "citations": [{"file": "src/change.py", "line": 10}]
    }
  ],
  "findings": [],
  "testsAcknowledgment": "No tests changed; the diff is docs-only or existing coverage is enough because ..."
}

© lynxlangya, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts) in skills/anchor-vet of lynxlangya/techne.

• SKILL.md
• README-CN.md
• README.md
• eval.md
• reference.md
• scripts/vet_gate.py

Open the folder on GitHubat commit 56bbe71