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 vignzpie/resume-agent-skills --skill resume-tailorgit clone --depth 1 https://github.com/vignzpie/resume-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/vignzpie/resume-agent-skills/resume-tailor)<a href="https://agentmods.dev/skills/vignzpie/resume-agent-skills/resume-tailor"><img src="https://agentmods.dev/badge/skills/vignzpie/resume-agent-skills/resume-tailor/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/vignzpie/resume-agent-skills/resume-tailor"><img src="https://agentmods.dev/badge/skills/vignzpie/resume-agent-skills/resume-tailor.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 | $0.00154 | $0.03727 |
| Opus 5 | $0.00077 | $0.01863 |
| Sonnet 5 | $0.00031 | $0.00745 |
| Haiku 4.5 | $0.00015 | $0.00373 |
Grade A, and why
resume-tailor 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 — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Tailor
Take a job description and a career profile, produce a tailored resume in markdown, .docx, and .pdf. The whole workflow is roughly 15 minutes for a user who already has a profile. The skill orchestrates: JD analysis → gap scorecard → minimal targeted discovery → draft → ATS pass → render → optional git commit.
Why this skill exists separately from career-profile-builder
The profile interview is exhausting and only happens occasionally. The tailoring workflow is fast and happens dozens of times. Different cadences, different mental models. Mashing them together means recurring users get re-asked profile questions every time, which is the worst-of-both-worlds.
This skill assumes the profile already exists. If it doesn't, the skill stops and points the user at career-profile-builder — it does not try to do a profile interview from inside a tailoring session.
Output contract
For each tailoring session, the skill produces (in the user's chosen working directory):
resume_<JD-ID>.md— the canonical source-of-truth for this tailored versionresume_<JD-ID>.docx— pandoc-rendered, ATS-friendly (the recruiter / ATS upload format)resume_<JD-ID>.pdf— for emailing to humans (the "looks good in preview" format)resume_<JD-ID>.html— the intermediate (kept around because it's free and useful)
All four files share a stem so they're easy to diff, version, and find. <JD-ID> is the user-supplied or auto-detected requisition ID (e.g., R13927). If no ID is available, fall back to <role-slug>_<YYYY-MM-DD> — e.g., senior-platform-eng_2026-04-28.
If pandoc is missing, the skill emits .md and .html only and tells the user what they're missing. See "Rendering" below.
Required inputs
- A career profile file — typically
career_profile.mdin the current directory. The skill reads this first and refuses to proceed without it (see "Profile preflight" below). - A job description — pasted into chat, supplied as a file path, or a URL the user wants fetched.
- (Optional) An output directory — defaults to the current working directory.
- (Optional) A page-count target — defaults to 2.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 241 lines · 154 tokens per session scan A f81d14b94f17
resume-tailor is a skill published in the GitHub repository vignzpie/resume-agent-skills (6 stars, last pushed 4mo ago), licensed MIT. It adds 154 tokens to every session and 3,727 once invoked, about $0.0008 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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