Borrowing it
Nothing to install: this file belongs to Zetetic-Dhruv/witness-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Zetetic-Dhruv/witness-mcp/main/.claude/skills/tailor-answer/SKILL.mdgit clone --depth 1 https://github.com/Zetetic-Dhruv/witness-mcpWrote 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/zetetic-dhruv/witness-mcp/tailor-answer)<a href="https://agentmods.dev/skills/zetetic-dhruv/witness-mcp/tailor-answer"><img src="https://agentmods.dev/badge/skills/zetetic-dhruv/witness-mcp/tailor-answer/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/zetetic-dhruv/witness-mcp/tailor-answer"><img src="https://agentmods.dev/badge/skills/zetetic-dhruv/witness-mcp/tailor-answer.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 | $0.00054 | $0.00278 |
| Opus 5 | $0.00027 | $0.00139 |
| Sonnet 5 | $0.00011 | $0.00056 |
| Haiku 4.5 | $0.00005 | $0.00028 |
Grade A, and why
tailor-answer 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 11d 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.
What it actually says
tailor-answer
Inputs
- The question text and the company (and role, if known).
- The user's
<data-dir>/profile.json(esp.positioningandqaBank).
How to write
- One quick fact-check on the company (what they build, a recent launch, their product philosophy).
- "Why us" / cover-letter: ~90–140 words, first person — one concrete observation about the company + the candidate's edge + one real proof point.
- For behavioural/role-fit questions, adapt the
qaBankanswers in the profile. - Rules: truthful to the CV only; no clichés; no em dashes; concrete over generic. Ask before asserting
anything not in the profile. Check it with
python -m src.cli triviality --text "..." --company "...".
With ANTHROPIC_API_KEY set, apply --url <url> --llm auto-drafts open-ended fields; still review before use.
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.
- 11d ago First seen · 21 lines · 54 tokens per session scan A e5b74f628be8
tailor-answer is a skill published in the GitHub repository Zetetic-Dhruv/witness-mcp (0 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 54 tokens to every session and 278 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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