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/update-profile/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/update-profile)<a href="https://agentmods.dev/skills/zetetic-dhruv/witness-mcp/update-profile"><img src="https://agentmods.dev/badge/skills/zetetic-dhruv/witness-mcp/update-profile/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/update-profile"><img src="https://agentmods.dev/badge/skills/zetetic-dhruv/witness-mcp/update-profile.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 | $0.00060 | $0.00319 |
| Opus 5.5 | $0.00024 | $0.00128 |
| Sonnet 5.5 | $0.00012 | $0.00064 |
| Haiku 4.5 | $0.00006 | $0.00032 |
Grade A, and why
update-profile 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.
What it actually says
update-profile
Keep <data-dir>/profile.json (the single source of truth every application draws from) accurate.
Case A — new/updated CV
export ANTHROPIC_API_KEY=… # needed for LLM extraction
python -m src.cli --data-dir <folder> parse-cv --cv path/to/NewCV.pdf
Then read the result, check TODO_CONFIRM/null fields with the user, and fix anything the extractor missed.
No API key? python -m src.parse_cv --cv path/to/NewCV.pdf --raw-only dumps text+links; or copy
examples/profile.example.json to <folder>/profile.json and fill it by hand.
Case B — edit one field
Edit <data-dir>/profile.json directly. Common edits in the application block: expectedCtcLpa,
currentCtcLpa, noticePeriodDays, earliestStartDate, willingToRelocate, preferredLocations,
links in basics.profiles, and the qaBank answers.
After any change
Rebuild with build-dashboard so the dashboard and future applications reflect it.
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 · 26 lines · 60 tokens per session scan A f33f9d99fa3b
update-profile is a skill published in the GitHub repository Zetetic-Dhruv/witness-mcp (0 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 60 tokens to every session and 319 once invoked, about $0.0002 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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