vetmanager-mcp: Skill for Codex

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

super-review is a skill for Codex from otis22/vetmanager-mcp. It costs 44 tokens per session (2,826 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: reads .claude/ paths; mentions subagents; 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 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,826 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 $0.00044 $0.02826
Opus 5 $0.00022 $0.01413
Sonnet 5 $0.00009 $0.00565
Haiku 4.5 $0.00004 $0.00283

Measured 10d ago against content hash 445cc414b7f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 10d 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 · 188 lines

How it starts

The opening of the file, as written. The whole thing — 188 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, multi-agent review, review arbitration, Spark scout review, or cross-model review in this repository.

Contract

Use the same review protocol as .claude/commands/super-review.md, but adapt runtime-specific steps to Codex tools:

  • scopes: changed default, related, full, stage:N
  • flags: --no-spark, --no-arbitration
  • output report: artifacts/review/{YYYY-MM-DD}-{scope_slug}-stage-{N}.md
  • dismissed memory: append to artifacts/review/inadequate-findings-index.md
  • findings schema: YAML items with severity, reviewer, category, file, lines, problem, why_it_matters, suggested_fix, confidence

If the Claude command and this skill differ, prefer it only for shared review policy: scopes, model matrix, finding schema, report format, adequacy rules, and cross-CLI arbitration contract. Do not copy Claude-only mechanics such as .claude/agents/*, Agent tool-calls, or Claude command syntax into Codex execution.

Model Routing

Spark/GPT side:

  • gpt-5.3-codex-spark: scout/prepass only. Treat output as untrusted leads.
  • gpt-5.4-mini or gpt-5.3-codex-spark: code/docs/tests candidate mining.
  • gpt-5.4: observability and normal validation.
  • gpt-5.5: security, architecture, product, hard disputes, and GPT-side aggregation if needed.

Claude side:

  • opus: external arbitration from Codex runtime; security/architecture/product/aggregator quality bar.
  • sonnet: fallback external arbitration and routine code/docs/tests checks.

Never let Spark decide final severity or merge verdict. Use the exact model name gpt-5.3-codex-spark. The shorter name gpt-5.3-spark is incomplete and must not be used.

Runtime Defaults And Fallbacks

Use these defaults when shelling out from Codex:

  • Per reviewer/scout command timeout: 1200 seconds.
  • External arbitration timeout: 900 seconds.
  • First attempt sandbox: -s read-only.
  • Classify failures before retrying:
    • Sandbox/runtime failure: process fails before meaningful file reads due to local execution errors such as bwrap: loopback: Failed RTM_NEWADDR, sandbox initialization, PTY/session startup, local timeout wrapper issues, or shell/env problems. Retry the same model once with the adjusted runtime settings described below. Do not switch models for these failures.
    • Model failure: stderr/stdout clearly indicates the requested model is unavailable, unknown, unsupported, denied for the account, capacity-limited, quota-limited, or otherwise rejected by the model provider. Only this class may use the documented fallback model.
    • Review-output failure: command ran and read files but returned empty output, malformed YAML, non-findings prose, or a meta runtime error. Do not switch models automatically unless the output itself identifies a model/provider failure; mark the role skipped_or_failed or rerun the same model once if the failure is obviously transient.
  • If Codex CLI fails before reading files with sandbox/runtime errors such as bwrap: loopback: Failed RTM_NEWADDR, retry that exact pass once with -s danger-full-access and a prompt that explicitly says: Review only. Do not edit files. Do not run write commands.
  • If and only if a model failure is identified, retry once with the documented fallback model and record the fallback in the report header/limitations.
  • If a role returns empty output, non-YAML output, or only a meta runtime error, do not silently treat it as "no findings"; mark that role as skipped_or_failed in the report header and continue with available roles.
  • Before finalizing, check that no codex exec / claude -p processes from this run are still alive.

Read the full file on GitHub · 188 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. 10d 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 44 tokens to every session and 2,826 once invoked, about $0.0002 per session on Opus 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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