review-plan

review-plan is a skill for Claude Code, Codex from siarhei-belavus/agent-public. It costs 46 tokens per session (1,800 once invoked), scanned A, original, MIT.

A plan review that checks whether PLAN.md contains enough precise information for someone else to carry out the work without prior context.

In plain words
What is it for?
Adding numbered findings to task packets and blocking plans that are ambiguous, incomplete, or unsafe to execute.
Why use it?
It exposes unclear steps, hidden assumptions, unsafe choices, and missing handling for lasting project changes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit Adding numbered findings to task packets and blocking plans that are ambiguous, incomplete, or unsafe to execute.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/siarhei-belavus/agent-public/review-plan
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.

Any agent
npx skills add siarhei-belavus/agent-public --skill review-plan
Clone the repo
git clone --depth 1 https://github.com/siarhei-belavus/agent-public

Made for: Claude Code, 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 review-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/review-plan/github.svg)](https://agentmods.dev/skills/siarhei-belavus/agent-public/review-plan)
Your own site
<a href="https://agentmods.dev/skills/siarhei-belavus/agent-public/review-plan"><img src="https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/review-plan/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 review-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/siarhei-belavus/agent-public/review-plan"><img src="https://agentmods.dev/badge/skills/siarhei-belavus/agent-public/review-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,800 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 $0.00046 $0.01800
Opus 5 $0.00023 $0.00900
Sonnet 5 $0.00009 $0.00360
Haiku 4.5 $0.00005 $0.00180

Measured 11d ago against content hash 723085f89539, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-plan 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 11d 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.

skills/atelier-workflow/review-plan/SKILL.md · 161 lines

How it starts

The opening of the file, as written. The whole thing — 161 lines — stays where its author put it; the contents beside it link to each section on GitHub.

review-plan

Review plans as execution contracts, not brainstorming notes. Judge the written plan on its own contents, not on what the human probably meant.

Treat the plan as not_ready unless it is explicit, self-sufficient, unambiguous, and operationally safe to execute as written.

Read first

  • ../references/task-packet-contract.md
  • ../references/persistent-artifacts-contract.md
  • ../references/compatibility-policy.md
  • ../references/ownership-and-reuse-policy.md
  • ../references/final-state-authoring-policy.md
  • ../references/initiative-workflow-contract.md when reviewing an initiative child packet
  • ../../references/communication-mode.md
  • relevant tracked AGENTS.md chain
  • applicable AGENTS.override.md only if local execution constraints matter
  • current task packet, especially PLAN.md

Review standard

A plan is ready only when all of the following are true:

  • every important term, artifact, and target outcome is explicit
  • no step requires guessing intent from prior conversation
  • the implementer can execute each step without hidden assumptions
  • the plan does not contain choice-language where a decision should already be made
  • the plan is clear enough that a competent agent can follow it in a clean context window without asking follow-up questions
  • the plan keeps ownership and reuse explicit enough to avoid parallel same-purpose implementations
  • the plan reads like one current target design instead of a migration diary or old/new hybrid

Core workflow

  1. Establish the real execution context.
    • Review the provided PLAN.md text only.
    • Assume the future executor will not see the surrounding conversation unless the plan includes that information directly.
  2. Run an ambiguity pass.
    • Find wording that permits more than one reasonable interpretation.
    • Flag vague nouns, unclear ownership, undefined success conditions, and steps that hide the actual action.
  3. Run a self-sufficiency pass.
    • Check whether the plan names the specific targets the executor must touch, create, remove, validate, or preserve.
    • Check whether it embeds the semantic decisions the executor would otherwise need to reconstruct.
  4. Run a no-choice-language pass.
    • Flag or, and/or, if needed, if appropriate, where possible, as necessary, consider, maybe, might, could, and similar wording when used in execution instructions.
    • Allow choice-language only when the plan is explicitly presenting options to the human for a decision.
  5. Run a standards pass.
    • Confirm the plan uses imperative decisions instead of advisory suggestions.
    • Confirm success criteria, validation, failure behavior, and stop conditions are explicit when they matter.
    • Confirm packet expectations are clear enough for implement-task and the review phases.
  6. Run artifact and residue hygiene passes.
    • Flag prose that tries to become a second source of truth instead of staying in code/tests or tracked AGENTS.md.
    • Flag places where likely durable semantic/navigation residue is being ignored and should be called out for later capture.
  7. Run an ownership-and-reuse pass.
    • Check whether the plan identifies the current owner for each important behavior or invariant.
    • Flag plans that introduce a new same-purpose helper/service/adapter/store/module/type without justifying a non-overlapping boundary.
    • Flag plans that should do a tidy-first refactor for reuse but instead jump straight to parallel implementation.
    • Flag plans that would leave future changes split across multiple same-purpose owners.
  8. Run a compatibility-policy pass.
    • If the plan adds backward-compatibility work for an internal-only change, mark that as unnecessary complexity.
    • If the plan touches a real external boundary but never resolves whether backward compatibility is required, mark the plan not_ready and require explicit human clarification.
    • If the plan includes compatibility shims, aliases, dual support, or fallback behavior without explicit human requirement, mark that as a finding.
  9. Run a final-state-authoring pass.
    • Flag plans that teach both an old and a new model when one chosen target model should be written directly.
    • Flag superseded vocabulary, owner splits, or status models that survive only as evolutionary residue.
    • Flag canonical plan prose that reads like patch notes instead of the intended steady-state contract.
  10. Run a handoff-readiness pass.
  • Simulate a new agent receiving only this plan in an empty context window.
  • If that agent would need even one material follow-up question to avoid guessing, mark the plan not_ready.
  1. Write or update PLAN_REVIEW.md.

Read the full file on GitHub · 161 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. 11d ago First seen · 161 lines · 46 tokens per session scan A 723085f89539

Subscribe to this mod's changes

review-plan is a skill published in the GitHub repository siarhei-belavus/agent-public (2 stars, last pushed 3mo ago), licensed MIT. It adds 46 tokens to every session and 1,800 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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