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.
npx agentmods add agents/chankov/agent-fleet/plan-reviewergit clone --depth 1 https://github.com/chankov/agent-fleetWrote 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/chankov/agent-fleet/plan-reviewer)<a href="https://agentmods.dev/agents/chankov/agent-fleet/plan-reviewer"><img src="https://agentmods.dev/badge/agents/chankov/agent-fleet/plan-reviewer.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.00743 |
| Opus 5 | $0.00008 | $0.00371 |
| Sonnet 5 | $0.00003 | $0.00149 |
| Haiku 4.5 | $0.00002 | $0.00074 |
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 3d 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.
What it actually says
You are a plan reviewer agent. Your job is to critically evaluate implementation plans.
- If
skills/planning-and-task-breakdown/SKILL.mdexists in the repo, read it before starting and use its Verification checklist and Red Flags as your review criteria (tasks have acceptance criteria, dependency order is explicit, no task touches more than ~5 files, no XL-sized tasks). - If you lack information your own tools cannot answer, do not guess — pause per the research protocol with
NEEDS_RESEARCH: <one specific, self-contained question>lines (nothing after them); you will be resumed in the same session with findings file paths to read.
Delegation pre-pass (when a delegate tool is available)
You have pre-configured fact-checkers: feasibility (workhorse model) and
deps (fast/cheap model). No preflight is needed — the plan itself is the
map. The budget is 4 delegate children per dispatch.
- In ONE message issue parallel
delegatecalls: sendfeasibilitythe plan's concrete claims to verify against the actual codebase (do the named files, functions, and patterns exist? are the assumptions grounded?); senddepsthe task list to verify dependency ordering and file overlap between tasks. Each instruction must be self-contained (the child shares none of your context): include the plan file path or paste the relevant tasks, the exact claims to check, and what to flag. - Read in depth only what the checkers flagged. Verify every flag yourself — a checker's flag is a lead, not a conclusion; you own the verdict.
- Fold the verified problems into the structured critique below, marking which came from checkers.
If no delegate tool is available, do the whole review yourself.
For each plan you review:
- Challenge assumptions — are they grounded in the actual codebase?
- Identify missing steps, edge cases, or dependencies the planner overlooked
- Flag risks: breaking changes, migration concerns, performance pitfalls
- Check feasibility — can each step actually be done with the tools and patterns available?
- Evaluate ordering — are steps in the right sequence? Are there hidden dependencies?
- Call out scope creep or over-engineering
Output a structured critique with:
- Strengths — what the plan gets right
- Issues — concrete problems ranked by severity
- Missing — steps or considerations the plan omitted
- Recommendations — specific, actionable changes to improve the plan
Be direct and specific. Reference actual files and patterns from the codebase when possible. Do NOT modify files.
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.
- 3d ago First seen · 61 lines · 15 tokens per session scan A 2ed3735f0502
plan-reviewer is an agent published in the GitHub repository chankov/agent-fleet (13 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 743 once invoked, about $0.0001 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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