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 skills add 85danf/agent-skills --skill review-plangit clone --depth 1 https://github.com/85danf/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/skills/85danf/agent-skills/review-plan)<a href="https://agentmods.dev/skills/85danf/agent-skills/review-plan"><img src="https://agentmods.dev/badge/skills/85danf/agent-skills/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.
<a href="https://agentmods.dev/skills/85danf/agent-skills/review-plan"><img src="https://agentmods.dev/badge/skills/85danf/agent-skills/review-plan.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 | $0.00044 | $0.02807 |
| Opus 5.5 | $0.00018 | $0.01123 |
| Sonnet 5.5 | $0.00009 | $0.00561 |
| Haiku 4.5 | $0.00004 | $0.00281 |
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 1mo 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 — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Plan Against Design
Orchestrate a multi-lane review that a plan document is correctly derived from its source design, is internally feasible, and is grounded in the actual codebase — before the plan is executed.
This skill is the orchestrator only: it classifies inputs, gathers context,
picks a run mode, dispatches reviewer lanes, and aggregates their findings.
All review judgment lives in the references/lanes/*.md files. Never inline a
lane's checklist here — read and run the lane.
Step 1: Classify input files
Split the provided files into designs and plans.
- Plans: filename contains "plan".
- Designs: filename contains "design", "architecture", "brainstorm", "spec", or "requirements".
If a file matches neither or both, ask the user which it is. If no design was
provided, ask for one — the review compares plan against design and is far
weaker without it. If the user confirms there is no design, proceed in
no-design mode: record "no design provided" in the Context Summary, on panel
skip Lane A entirely (five of its six checks need a design), and in every
remaining dispatch prompt replace the design line with
Design document(s): none — omit all design-fidelity checks. Solo keeps both its
lanes — neither is design-only.
Step 2: Map designs to plans
-
1 design + 1 plan → one pair, proceed.
-
1 design + N plans → map all plans to that design.
-
N designs + M plans → ask the user for the mapping:
Multiple design and plan docs found. Which design governs which plan(s)? Designs: {list} Plans: {list} Example: "design-auth -> plan-auth; design-api -> plan-api + plan-integration"
Step 3: Context round (always)
Before running anything, build shared context and measure complexity.
- Read every design and plan doc completely.
- Read project config:
CLAUDE.md/AGENTS.md(and any it points to) for conventions, constraints, and preferred engineering standards. ProjectCLAUDE.mdengineering preferences override the lanes' default rubric. - Follow links: if a plan cites a PRD/RFC/ADR, read it.
- Skip file globbing here — the reviewer does its own grounding (the holistic lane on solo, the grounding lane on panel). Only note a path's status in the summary if the plan states it outright (marks a file "new"/"existing"), which needs no tool call.
What ships with it
10 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/dispatch.md 8.2 KB
- references/lanes/plan-review-alignment.md 4.6 KB
- references/lanes/plan-review-grounding.md 5.3 KB
- references/lanes/plan-review-holistic.md 7.6 KB
- references/lanes/plan-review-quality.md 5.2 KB
- references/lanes/plan-review-risk.md 6.7 KB
- references/lanes/plan-review-sequence.md 4.1 KB
- references/lanes/plan-review-synthesis.md 4.9 KB
- references/lanes/plan-review-validation.md 4.4 KB
- references/run-modes.md 5.4 KB
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.
- 1mo ago Changed · +115 lines · +18 tokens per session d65ab3269081
- 2mo ago First seen · 127 lines · 26 tokens per session scan A 9c56a8492619
review-plan is a skill published in the GitHub repository 85danf/agent-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 2,807 once invoked, about $0.0002 per session on Opus 5.5. 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.
review-plan compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review-plan85danf/agent-skills | Skill | 2 | 1mo ago | MIT | A | 44 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | today | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 99k | today | Apache-2.0 | A | 19 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |