vetmanager-mcp: Skill for Codex

.codex/skills/super-review/SKILL.md

super-review is a skill for Codex from otis22/vetmanager-mcp. It costs 33 tokens per session (1,476 once invoked), scanned A, original, MIT.

A multi-step code review workflow that asks several AI reviewers to inspect changes, compare their findings, and produce a Markdown report.

In plain words
What is it for?
Use it for deep reviews of changed, related, full, or staged code. It helps record issues, suggested fixes, confidence, and findings that were previously dismissed.
Why use it?
It reduces the chance that one reviewer misses a problem or raises a weak finding. It also keeps review findings in a consistent format for later checking.

Skill for Codex

Written for Codex: installed under .codex/. Also seen: runs codex exec; mentions AGENTS.md; mentions Codex.

This is otis22/vetmanager-mcp's own configuration. It tells Codex how to work on vetmanager-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything vetmanager-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to otis22/vetmanager-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/otis22/vetmanager-mcp/main/.codex/skills/super-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/otis22/vetmanager-mcp

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for super-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/otis22/vetmanager-mcp/super-review/github.svg)](https://agentmods.dev/skills/otis22/vetmanager-mcp/super-review)
Your own site
<a href="https://agentmods.dev/skills/otis22/vetmanager-mcp/super-review"><img src="https://agentmods.dev/badge/skills/otis22/vetmanager-mcp/super-review/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for super-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/otis22/vetmanager-mcp/super-review"><img src="https://agentmods.dev/badge/skills/otis22/vetmanager-mcp/super-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,476 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.01476
Opus 5.5 $0.00013 $0.00590
Sonnet 5.5 $0.00007 $0.00295
Haiku 4.5 $0.00003 $0.00148

Measured 9d ago against content hash 799df2cadb1f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

super-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.codex/skills/super-review/SKILL.md · 55 lines

How it starts

The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Super Review

Use this skill when the user asks for super-review, deep review, Spark scout review, or cross-model arbitration in this repository. AGENTS.md and .cursor/rules/agent-workflow.mdc are the current source of truth for review gates, budgets, CI and the release train.

Scope and output

  • Scopes: changed (default), related, full, stage:N.
  • Exploratory report flags --no-spark and --no-arbitration may be used only when the user explicitly requests a reduced report. They never satisfy a mandatory PRD, visual or committed diff gate; a gate always requires Spark or its documented exhausted-budget rationale and both strong verdicts.
  • Report: artifacts/review/{YYYY-MM-DD}-{scope_slug}-stage-{N}.md, unless the user requests a different destination.
  • Candidate findings: YAML with severity, reviewer, category, file, lines, problem, why_it_matters, suggested_fix, confidence. Record dismissed recurring findings in artifacts/review/inadequate-findings-index.md when writing a super-review report.
  • If this skill is used as a workflow gate, its final gate verdict is the schema-valid findings JSON from both strong reviewers. A Markdown report or YAML candidate list alone is not a gate verdict.

Multi-role report coverage

For a full super-review report, cover these briefs with bounded passes or explicit sections in the strong prompts: code (semantic and local defects), architecture (boundaries), simplicity (unneeded complexity), docs (verified drift), security (access and secrets), performance-and-reliability (timeouts and load), observability (safe logs and diagnostics), tests (missing failure paths), product (PRD and user-visible behavior), and codex-blindspot (edge cases). Assign current models by the contract below; do not infer model names from a historical role matrix.

Aggregate candidates across roles: deduplicate, verify line references, reject speculative, low-impact, duplicate and pre-existing findings; drop non-meta findings with confidence below 0.4. Preserve all critical/high. If more than 120 remain, retain the highest severity × confidence medium/low up to 120. Record inadequacy reasons in the report or inadequate-findings memory. The strong Astra and Opus verdicts arbitrate disputed material findings; neither a role pass nor Spark alone approves release.

Read the full file on GitHub · 55 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago Changed · -133 lines · -11 tokens per session 799df2cadb1f
  2. 1mo ago Changed 8f6b36a3cb1c
  3. 2mo ago First seen · 188 lines · 44 tokens per session scan A 445cc414b7f5

Subscribe to this mod's changes

super-review is a skill published in the GitHub repository otis22/vetmanager-mcp (1 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 1,476 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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