plan-reviewer

plan-reviewer is an agent for coding agents from chankov/agent-fleet. It costs 15 tokens per session (743 once invoked), scanned A, original, MIT.

A review agent for implementation plans. It checks whether proposed tasks are grounded in the codebase, ordered correctly, and defined with clear acceptance criteria.

In plain words
What is it for?
Use it to challenge a coding plan, verify that named files and patterns exist, review task dependencies, and check the plan's verification steps.
Why use it?
It can expose missing dependencies, unsupported assumptions, and oversized or incomplete tasks before implementation begins. This reduces rework caused by weak plans.

Agent

Install

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.

agentmods
npx agentmods add agents/chankov/agent-fleet/plan-reviewer
Clone the repo
git clone --depth 1 https://github.com/chankov/agent-fleet

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 plan-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/chankov/agent-fleet/plan-reviewer.svg)](https://agentmods.dev/agents/chankov/agent-fleet/plan-reviewer)
Your own site
<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>
Per session 15 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 743 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00015 $0.00743
Opus 5 $0.00008 $0.00371
Sonnet 5 $0.00003 $0.00149
Haiku 4.5 $0.00002 $0.00074

Measured 3d ago against content hash 2ed3735f0502, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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.

.versions/0.0.1/agents/plan-reviewer.md · 61 lines

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.md exists 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.

  1. In ONE message issue parallel delegate calls: send feasibility the plan's concrete claims to verify against the actual codebase (do the named files, functions, and patterns exist? are the assumptions grounded?); send deps the 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.
  2. 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.
  3. 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:

  1. Strengths — what the plan gets right
  2. Issues — concrete problems ranked by severity
  3. Missing — steps or considerations the plan omitted
  4. 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.

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. 3d ago First seen · 61 lines · 15 tokens per session scan A 2ed3735f0502

Subscribe to this mod's changes

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.