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 marchatton/agent-skills --skill wf-plangit clone --depth 1 https://github.com/marchatton/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/marchatton/agent-skills/wf-plan)<a href="https://agentmods.dev/skills/marchatton/agent-skills/wf-plan"><img src="https://agentmods.dev/badge/skills/marchatton/agent-skills/wf-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/marchatton/agent-skills/wf-plan"><img src="https://agentmods.dev/badge/skills/marchatton/agent-skills/wf-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 | $0.00057 | $0.00611 |
| Opus 5 | $0.00028 | $0.00305 |
| Sonnet 5 | $0.00011 | $0.00122 |
| Haiku 4.5 | $0.00006 | $0.00061 |
Grade A, and why
wf-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 9d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wf-plan
Purpose
Turn a shaped packet (wf-shape dossier) into a commit-ready plan without re-litigating the shape.
Never implement production code. Only research and write the plan.
Inputs
Dossier folder path containing:
brief.mdbreadboard-pack.mdrisk-register.mdspike-investigation.md(if present)
Outputs
Inside the same dossier:
plan.md
Steps
- Pickup (recommended if new thread)
- Invoke
pickupif repo/branch state is not fresh.
- Ingest shaped packet (no idea refinement loop)
- Read brief → breadboard → risk register → spikes.
- If perimeter or top risks are missing: route back to wf-shape.
- Create plan skeleton
- Create
plan.mdwith:- scope (in/out)
- key flows + key logic
- acceptance criteria + verification plan
- sequencing/phases + stop points
- rollout/rollback + observability
- dependencies + risks
- Local research (always)
- Find similar patterns in repo.
- Pull institutional learnings (docs/solutions, docs/LEARNINGS.md).
- Record concrete file paths.
- External research (conditional)
- Always external for: security/auth, payments, privacy, external APIs, migrations.
- Otherwise only if local context is thin.
- Spec hardening (gap pass)
- Edge cases, failure modes, concurrency, performance, data integrity, security threats.
- Update acceptance criteria + verification.
- Plan review passes
- Simplicity, risk, ops/release, data integrity, security/privacy, UX/product.
- Final mandatory pass: invoke
oracleon the whole plan and integrate findings (or mark out-of-bounds).
- Commit gate
- GO only if:
- AC measurable
- verification per AC
- sequencing explicit
- rollout/rollback explicit
- no P1 unknowns remain
- Handoff to build (recommended boundary)
- Invoke
handoffand include:- plan path + summary of phases
- how to verify
- rollout notes
- biggest remaining risks
- Recommend build in a fresh thread:
/newthenpickupthen run wf-develop or wf-ralph
What ships with it
2 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.
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.
- 9d ago First seen · 88 lines · 57 tokens per session scan A 66b5a2c5c200
wf-plan is a skill published in the GitHub repository marchatton/agent-skills (5 stars, last pushed 6mo ago), licensed MIT. It adds 57 tokens to every session and 611 once invoked, about $0.0003 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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