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 compare-fitgit 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/compare-fit)<a href="https://agentmods.dev/skills/laboramus-ai/laboramus-ai-claude-plugin/compare-fit"><img src="https://agentmods.dev/badge/skills/laboramus-ai/laboramus-ai-claude-plugin/compare-fit/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/compare-fit"><img src="https://agentmods.dev/badge/skills/laboramus-ai/laboramus-ai-claude-plugin/compare-fit.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 | $0.00045 | $0.00645 |
| Opus 5 | $0.00023 | $0.00322 |
| Sonnet 5 | $0.00009 | $0.00129 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
compare-fit 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Laboramus — Compare Fit
Put "what the role needs" next to "what I bring" and produce an honest fit assessment. Requires both a candidate profile and the role requirements. Output: analyses/fit-comparison.md.
Inputs
First locate the current application folder per ../../references/conventions.md §1 (never guess between multiple applications). Then:
analyses/role-requirements.md(from analyze-role; if missing, run that first — don't recompute requirements here).profile/candidate-profile.md(the candidate). If absent, stop and tell the user to build their profile first.analyses/employer.mdif present (context).
What to produce → fit-comparison.md
Readable Markdown in the user's language, addressing the user directly ("you"):
Fit score (1–10) + explanation
Honest and realistic. Explain the reasoning.
Hard skills
Required vs. yours → matches (you meet/exceed) and gaps (missing/insufficient). Quote the requirement and cite your evidence (level, years, context from the profile).
Soft skills
Same structure. If a personality summary exists in the profile, use it ONLY as reinforcement for soft-skill claims already evidenced by certificates — never as the sole basis (the "does it help?" rule). If no personality data, ignore it.
Career logic — seniority check (critical)
Compare your highest prior role to the target role's seniority:
- Step up (e.g. Senior → Lead): logical progression.
- Lateral (Senior → Senior): logical continuation.
- Step down / overqualified (e.g. Head-of → IC): do NOT call it "a logical next step". Name it a strategic pivot/step down. Apply a scoring penalty: the fit score MUST NOT exceed 7.5, and state "risk of overqualification / flight risk" explicitly in the explanation.
Anti-inflation (sparse postings)
If the posting was thin, score against the inferred standard requirements too. Don't award 8–10 just because the candidate matches the few explicit words — if standard implied skills are missing, cap lower (max 6–7).
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 · 49 lines · 45 tokens per session scan A ae797d712aba
compare-fit is a skill published in the GitHub repository laboramus-ai/laboramus-ai-claude-plugin (2 stars, last pushed 13d ago), licensed MIT. It adds 45 tokens to every session and 645 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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