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 agentmods add skills/tmargolis/career-navigator/ats-optimizationnpx skills add tmargolis/career-navigator --skill ats-optimizationgit clone --depth 1 https://github.com/tmargolis/career-navigatorWrote 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/tmargolis/career-navigator/ats-optimization)<a href="https://agentmods.dev/skills/tmargolis/career-navigator/ats-optimization"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/ats-optimization.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.01055 |
| Opus 5 | $0.00034 | $0.00528 |
| Sonnet 5 | $0.00014 | $0.00211 |
| Haiku 4.5 | $0.00007 | $0.00105 |
Grade A, and why
ats-optimization 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 5d 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Check a resume for ATS-hostile formatting, keyword gaps, and narrative weaknesses, then propose specific inline fixes. Invoke resume-coach to perform the analysis.
This skill fires automatically when a resume has just been generated (after tailor-resume assembles a draft, before the user confirms the save) or when a resume is pasted into the conversation. It also fires on explicit request.
Workflow
1. Identify the resume
Check for a resume in context — in order of priority:
- A resume just generated by
tailor-resumein this session - Content pasted directly into the conversation
- An artifact name or filename the user referenced — look it up in
{user_dir}/CareerNavigator/artifacts-index.jsonand read the file
If no resume is identifiable:
"Which resume should I check? Paste it here or give me the filename."
2. Get the job description
A JD is required for keyword match analysis. Check for one in context:
- If
tailor-resumejust ran, the JD is already in context — use it - If the user pasted a JD alongside the resume — use it
- If no JD is in context, ask:
"Paste the job description so I can check keyword coverage. Skip it and I'll check formatting and narrative only."
If the user skips, proceed with formatting and narrative checks only — note that keyword match will be omitted from the results.
3. Invoke resume-coach
Pass the resume text and JD (if available) to resume-coach. The agent applies its ATS Scoring Rules and Narrative Coaching Rules and returns a list of issues: the check that failed, the offending text, and a proposed fix.
4. Present inline fix suggestions
Organize findings into a prioritized list — highest-impact issues first. For each issue, show the original and the proposed rewrite side by side:
ATS check — {filename or "this resume"}
{n} issue(s) found
1. {Check name} [HIGH / MEDIUM / LOW]
Original: "{exact text from the resume}"
Fix: "{specific proposed rewrite}"
2. {Check name} [HIGH / MEDIUM / LOW]
Original: "{exact text}"
Fix: "{specific rewrite or instruction if no direct replacement is possible}"
...
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.
- 5d ago First seen · 106 lines · 69 tokens per session scan A fceb04d555ad
ats-optimization is a skill published in the GitHub repository tmargolis/career-navigator (14 stars, last pushed 6d ago), licensed Apache-2.0. It adds 69 tokens to every session and 1,055 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 2026-08-30.
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