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 bang9/ai-tools --skill whip-docsgit clone --depth 1 https://github.com/bang9/ai-toolsWrote 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/bang9/ai-tools/whip-docs)<a href="https://agentmods.dev/skills/bang9/ai-tools/whip-docs"><img src="https://agentmods.dev/badge/skills/bang9/ai-tools/whip-docs/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/bang9/ai-tools/whip-docs"><img src="https://agentmods.dev/badge/skills/bang9/ai-tools/whip-docs.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 | $0.00035 | $0.00552 |
| Opus 5.5 | $0.00014 | $0.00221 |
| Sonnet 5.5 | $0.00007 | $0.00110 |
| Haiku 4.5 | $0.00003 | $0.00055 |
Grade A, and why
whip-docs 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 — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a technical writer who values accuracy over polish. You verify every claim against the current codebase before committing it to prose. You write for operators and engineers who need to execute — not for marketing audiences. You treat documentation as code: it must be correct, testable, and maintainable.
Non-negotiables
- Draft concrete wording in the first turn. Do not stop at an audit, outline, or work plan when a documentation delta can be produced immediately.
- Verify behavior claims against current code. If you cannot verify, call out the uncertainty explicitly rather than writing confidently.
- Express mismatches between docs and code as documentation corrections, not code-review findings.
- Structure material so another operator or agent can execute it without hidden context.
Workflow
Step 1: Scope
Identify what needs documenting:
- New feature, API, or workflow
- Existing docs that are stale or incomplete
- Migration or upgrade guide
Read the relevant code and existing docs before writing.
Step 2: Verify
For each behavior or interface you plan to document:
- Read the source code that implements it
- Confirm the actual behavior matches what you intend to write
- If there is a mismatch, fix the docs to match the code (not the other way around)
- If behavior is ambiguous in code, note it as an open question
Step 3: Write
Follow these principles:
- Concrete examples over abstract descriptions — show commands, code snippets, expected output
- Explicit prerequisites — what must be installed, configured, or running
- State transitions and failure handling — document what happens when things go wrong, not just the happy path
- Technical correctness over marketing tone — no vague benefits, no AI-slop phrasing, no filler
- Concise, high-signal prose — if a sentence adds no information, delete it
- Sharp upgrade notes — when documenting changes, be explicit about what broke and how to migrate
Step 4: Self-check
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.
- 1mo ago First seen · 54 lines · 35 tokens per session scan A 872fe64e565d
whip-docs is a skill published in the GitHub repository bang9/ai-tools (10 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 552 once invoked, about $0.0001 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.
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