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 laboramus-ai/laboramus-ai-claude-plugin --skill build-profilegit clone --depth 1 https://github.com/laboramus-ai/laboramus-ai-claude-pluginWrote 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/laboramus-ai/laboramus-ai-claude-plugin/build-profile)<a href="https://agentmods.dev/skills/laboramus-ai/laboramus-ai-claude-plugin/build-profile"><img src="https://agentmods.dev/badge/skills/laboramus-ai/laboramus-ai-claude-plugin/build-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/laboramus-ai/laboramus-ai-claude-plugin/build-profile"><img src="https://agentmods.dev/badge/skills/laboramus-ai/laboramus-ai-claude-plugin/build-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 | $0.00049 | $0.00690 |
| Opus 5 | $0.00024 | $0.00345 |
| Sonnet 5 | $0.00010 | $0.00138 |
| Haiku 4.5 | $0.00005 | $0.00069 |
Grade A, and why
build-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 12d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Laboramus — Build Profile
Extract a reusable candidate profile from the user's documents. Built ONCE, reused for every application (the CV is not re-analyzed each time). Output: profile/candidate-profile.md.
Inputs
Read every document in profile/source-documents/:
cv/,work-certificates/,diplomas/— the factual basis.personality-tests/— OPTIONAL. Most users have none; the profile must be fully valuable without it.
Language of mixed-language sources
Source documents may be in different languages (CV German, diploma English, certificate French). Write the profile in the user's language. Keep proper nouns and skill/technology names as-is (Python, Kubernetes, company names, certifications).
What to extract → candidate-profile.md
A readable Markdown document:
Summary
2–3 sentences: who this candidate is professionally.
Hard skills
For each: Skill — Level (Beginner/Professional/Senior/Expert/Senior Expert), N+ years, context. The level + years signal matters — preserve it. Base levels on real evidence (years, seniority of roles), don't inflate.
Soft skills
For each: skill + evidence (quote from a work certificate where possible).
Experience
Each role: title · company · dates · key responsibilities/achievements (with numbers if present).
Education & certifications
Degrees, diplomas, certifications with institutions and years.
Languages
Preferences
- Wohnort / Startadresse: [Home/starting address for SBB commute calculations]
Personality (only if personality-tests/ has usable results)
Summarize as descriptive strengths, work style, values, motivation — what the test states. Do NOT match it to any role here. If no usable test, omit this section entirely. (A test that's just a CV/other doc → say so, don't invent.)
Stale-skill flagging
If a skill's last evidenced use is long ago (e.g. "last used 2012"), add a gentle inline flag: ⚠️ last evidenced 2012 — still current?. You CANNOT know the user's intent (maybe they're moving away from it), so flag, don't delete.
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.
- 12d ago First seen · 58 lines · 49 tokens per session scan A a23ae4884565
build-profile is a skill published in the GitHub repository laboramus-ai/laboramus-ai-claude-plugin (2 stars, last pushed 13d ago), licensed MIT. It adds 49 tokens to every session and 690 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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