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/fergius-engineering/instincts/plan-with-teethnpx skills add Fergius-Engineering/instincts --skill plan-with-teethgit clone --depth 1 https://github.com/Fergius-Engineering/instinctsWrote 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/fergius-engineering/instincts/plan-with-teeth)<a href="https://agentmods.dev/skills/fergius-engineering/instincts/plan-with-teeth"><img src="https://agentmods.dev/badge/skills/fergius-engineering/instincts/plan-with-teeth.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 | $0.00047 | $0.00769 |
| Opus 5 | $0.00023 | $0.00385 |
| Sonnet 5 | $0.00009 | $0.00154 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
plan-with-teeth 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.
How it starts
The opening of the file, as written. The whole thing — 39 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The rule
A plan is a stack of claims about code, and every claim is either read from the source this session or it is a guess. Plans built on guesses don't fail at the whiteboard; they fail at step 3 of the implementation, where rework is expensive. Read first, label what you didn't read, and attack your own draft before anyone else sees it.
This sharpens superpowers' writing-plans: that skill gives a plan its shape and process, this one keeps its content honest.
Fires when
Writing an implementation plan or design note, entering plan mode, answering "how would we build this?", estimating the size of a change, reviewing someone else's plan.
How to apply
- Read every file the plan touches before writing a step about it. A claim about the codebase carries a file:line reference. Not read this session means not known.
- Open the plan with an assumptions ledger. Mark each entry [VERIFIED file:line] or [HYPOTHESIS]. A load-bearing hypothesis gets resolved by reading the code or asking; it never gets built on silently.
- Bring two or three genuinely different approaches, with cost, risk, and blast radius. Say why the losers lose. A one-approach plan is a draft.
- End every step with how you'll know it worked: a command, a test, an observable behavior. A step with no check is a hope.
- After drafting, attack the plan: which edge case kills it, which file did you not open, what does rollback look like, what would a reviewer bounce. Fix what you find, then show it.
Anything still unverified in the final plan stays labeled a hypothesis. A wrong plan costs more than a slow one, so think as long as it takes.
Worked example
Task: "plan rate limiting for our public API." The plan from memory says: add middleware, configure limits, write tests. Three steps, one approach, nothing checked. The plan with teeth starts by reading the request path and finds a response cache sitting above the middleware chain (gateway/cache.ts:88), so naive middleware would count cache hits against the limit. Its ledger holds "[HYPOTHESIS] every endpoint goes through the main router" — checked, and false: the websocket upgrade path skips it. It weighs an in-process token bucket against gateway-level limiting and picks the gateway, because the service runs six replicas with no shared state. Each step ends with a check ("hit the endpoint 30 times, read the 429 body and the Retry-After header"). The cache and the websocket path are exactly the two surprises the from-memory plan would have met mid-implementation.
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.
- 3d ago First seen · 39 lines · 47 tokens per session scan A 7d5c57cd9575
plan-with-teeth is a skill published in the GitHub repository Fergius-Engineering/instincts (2 stars, last pushed 9d ago), licensed MIT. It adds 47 tokens to every session and 769 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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