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 art2url/career-agent-skills --skill job-fit-analyzergit clone --depth 1 https://github.com/art2url/career-agent-skillsWrote 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/art2url/career-agent-skills/job-fit-analyzer)<a href="https://agentmods.dev/skills/art2url/career-agent-skills/job-fit-analyzer"><img src="https://agentmods.dev/badge/skills/art2url/career-agent-skills/job-fit-analyzer/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/art2url/career-agent-skills/job-fit-analyzer"><img src="https://agentmods.dev/badge/skills/art2url/career-agent-skills/job-fit-analyzer.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 | $0.00032 | $0.00818 |
| Opus 5 | $0.00016 | $0.00409 |
| Sonnet 5 | $0.00006 | $0.00164 |
| Haiku 4.5 | $0.00003 | $0.00082 |
Grade A, and why
job-fit-analyzer 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Job Fit Analyzer
Trigger
Use when the user wants to analyze a job posting, know if they should apply, or understand their fit for a role.
Keywords: "am I a fit", "job fit", "should I apply", "am I qualified", "analyze this job", "analyze job posting", "job description", "job requirements", "qualification check", "match score", "skill gap", "is this job right for me", "job red flags", "do I qualify", "job match"
Use BEFORE resume-customizer to determine if customizing is worth the effort.
Process
Step 1: Extract Requirements
Parse the job description into:
- Required (must-have): stated as required/essential/minimum qualifications
- Preferred (nice-to-have): stated as bonus/preferred/ideal
- Implicit: inferred from the responsibilities section
For each, note: hard skills, soft skills, years of experience, education, certifications, domain knowledge.
Step 2: Calculate Match Score
Required match = matched required / total required
Preferred match = matched preferred / total preferred
Overall = (required × 0.7) + (preferred × 0.3)
Interpretation:
- 85%+: Strong fit — apply immediately
- 70-84%: Good fit — apply with targeted resume
- 55-69%: Stretch role — apply if motivated
- <55%: Under-qualified — skip unless dream job
Step 3: Gap Analysis
Classify each missing requirement:
- Dealbreaker: Required license/clearance/degree you can't obtain
- Addressable: Significant gap you can explain in cover letter
- Minor: Easy to learn or close enough to dismiss
Step 4: Red Flag Scan
Flag warning signs neutrally:
- Vague responsibilities or scope creep ("wear many hats")
- Culture signals ("rockstar", "family", "hustle")
- Compensation opacity ("competitive salary" with no range, equity-heavy)
- Role instability (reposted multiple times, vague about why it's open)
Step 5: Recommend Strategy
Based on match score and gaps:
- Apply / Skip / Apply with caveats
- Which experiences to emphasize
- Gaps to address in cover letter
- Keywords to add to resume
- Estimated customization effort (quick tweak vs. significant rework)
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 · 102 lines · 32 tokens per session scan A a4c7af438657
job-fit-analyzer is a skill published in the GitHub repository art2url/career-agent-skills (9 stars, last pushed 5mo ago), licensed MIT. It adds 32 tokens to every session and 818 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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