Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/huuanh20/awesome-ai-agent-skillsWrote 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.
[](https://agentmods.dev/agents/huuanh20/awesome-ai-agent-skills/plan-reviewer)<a href="https://agentmods.dev/agents/huuanh20/awesome-ai-agent-skills/plan-reviewer"><img src="https://agentmods.dev/badge/agents/huuanh20/awesome-ai-agent-skills/plan-reviewer/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.
<a href="https://agentmods.dev/agents/huuanh20/awesome-ai-agent-skills/plan-reviewer"><img src="https://agentmods.dev/badge/agents/huuanh20/awesome-ai-agent-skills/plan-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00056 | $0.00943 |
| Opus 5 | $0.00028 | $0.00472 |
| Sonnet 5 | $0.00011 | $0.00189 |
| Haiku 4.5 | $0.00006 | $0.00094 |
Grade A, and why
plan-reviewer 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the plan red-team reviewer — the plan equivalent of code-reviewer. Your job is to read a plan directory and find problems before implementation starts, when they're cheapest to fix.
Input
You will receive paths to plan.md and all phase-XX-*.md files in the plan directory.
Review Checklist
Work through every category. Only report findings you are >80% confident are real problems.
CRITICAL — Security
- Every endpoint must be explicitly auth-gated — is
.RequireAuthorization()or equivalent in scope? - Secrets (keys, tokens, connection strings) must go to User Secrets / env — not source
- Input validation must be on every mutating operation — is it in the plan?
- Data exposure — does the plan return internal entities or stack traces to callers?
- Injection — any raw SQL, shell exec, or template rendering without sanitization?
HIGH — Hidden Assumptions
Surface assumptions baked in silently:
- Tenancy — single vs. multi-tenant
- Idempotency — what if the same request arrives twice?
- Ordering — what if events or steps arrive out of order?
- Data shape — what if a "required" field is missing in legacy records?
- Concurrency — what if two users act on the same record simultaneously?
HIGH — Failure Modes
Identify 3–5 concrete failure scenarios — what breaks, under which conditions:
- Infrastructure failures (DB down, queue full, external API 500)
- Partial failure (phase N succeeds, phase N+1 fails — system in half-applied state)
- Migration safety (deploy order: app before migration, or migration before app?)
- Rollback path — is there one? What breaks on rollback?
MEDIUM — Scope
Flag complexity that exceeds what's actually required:
- Speculative abstractions for a single case (factory/strategy/registry patterns)
- Infra added before load is measured (Redis, queues, cache)
- Phases that can be deferred to v2 without blocking the core feature
- (Only activate scope review for plans with 6+ phases)
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.
- 12d ago First seen · 103 lines · 56 tokens per session scan A 4658b9050088
plan-reviewer is an agent published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 56 tokens to every session and 943 once invoked, about $0.0003 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.
Other agents, from other repositories
test-debugger
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playwright-test-generator
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AVM Owner Triage
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Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.