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 skills/wsauret/flywheel/plan-reviewnpx skills add wsauret/flywheel --skill plan-reviewgit clone --depth 1 https://github.com/wsauret/flywheelWrote 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/wsauret/flywheel/plan-review)<a href="https://agentmods.dev/skills/wsauret/flywheel/plan-review"><img src="https://agentmods.dev/badge/skills/wsauret/flywheel/plan-review.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 5.1 | $0.00039 | $0.03273 |
| Opus 5 | $0.00019 | $0.01636 |
| Sonnet 5 | $0.00008 | $0.00655 |
| Haiku 4.5 | $0.00004 | $0.00327 |
Grade A, and why
plan-review 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 6d 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 — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Plan Reviewing Skill
Run ALL available reviewer agents in parallel, collect their prose findings, structure them into the schema, dedup semantically, and write a merged findings.json into the active session directory.
Philosophy: Each reviewer represents a different stakeholder perspective. These perspectives legitimately conflict. We do NOT resolve conflicts — we preserve them as distinct findings and surface disagreements for the user to decide.
Architecture: Reviewers return natural-language prose; the synthesizer (this skill) is the single schema enforcer. Reviewers focus on finding issues; structuring is the synthesizer's job.
Input
Plan identifier via $ARGUMENTS. If empty, the skill reads the active session pointer at .flywheel/plugin/active.json and loads that session's spec.json as the review target.
If .flywheel/plugin/active.json does not exist, error with:
No active session. Run /plan first.
Phase 0: Load Target & Project Context
- If
$ARGUMENTSis non-empty, treat as a plan path. - Otherwise: read
.flywheel/plugin/active.json, extractsession_id, load.flywheel/plugin/sessions/<session_id>/spec.json. - The review target (plan content or spec content) is passed inline to the reviewers.
- Use Glob to find the project's architectural docs once at the orchestrator level — reviewers read the resulting paths instead of doing six parallel discoveries:
CLAUDE.md,agents.md,docs/architecture.md,docs/adrs/**/*.md,docs/coding-guidelines*.md. Collect intoPROJECT_CONTEXT_PATHSand inline them in every reviewer dispatch under "PROJECT CONTEXT PATHS." If no docs match, passnone.
Plan reviewers: reviewer-architecture, reviewer-code-quality, reviewer-patterns, reviewer-performance, reviewer-data-integrity, reviewer-elegance.
Reviewers may catch external claim issues (version mismatches, anti-patterns, security concerns) as part of their normal review. There is no separate enrichment step — plan-creation handles initial validation; reviewers provide a second check from their respective perspectives.
What ships with it
1 file 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.
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.
- 6d ago First seen · 257 lines · 39 tokens per session scan A 568388e66d77
plan-review is a skill published in the GitHub repository wsauret/flywheel (14 stars, last pushed 2d ago), licensed MIT. It adds 39 tokens to every session and 3,273 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 2026-08-30.
Other skills, from other repositories
contributor-onboarding
Help a new contributor get productive on this checkout - inspect sync state against main, build, run the repository's exact verification gate, and produce a local what's-new digest. Never fetches, pulls, or modifies a dirty tree on its own. Explicit-only.
handoff
Write a compact, decision-ready handoff so the next session (or the user) can continue without reconstructing the current one. Use when the session is ending, context is running low, the user asks for a handoff / "pass the baton" / "hand off", or a long-running operation needs a durable state checkpoint.
codew-release-qa-sweep
Use before claiming Codewhale release work is done: run the full gate sweep and list the manual QA targets.
gh-compile-issues
Triage N GitHub issues into a coverage matrix: fetch each, check current code, classify already-done/quick-fix/design/defer with cited evidence.
gh-file-issue
Use when filing a new Codewhale GitHub issue: turn a bug or idea into a well-formed, actionable issue with repro, acceptance criteria, labels, and milestone.
gh-find-prs
Survey open Codewhale PRs and triage each for mergeability and disposition against the real landing branch.