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 andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2- --skill tailor-resumegit clone --depth 1 https://github.com/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-Wrote 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/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tailor-resume)<a href="https://agentmods.dev/skills/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tailor-resume"><img src="https://agentmods.dev/badge/skills/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tailor-resume/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/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tailor-resume"><img src="https://agentmods.dev/badge/skills/andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-/tailor-resume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.01205 |
| Opus 5 | $0.00030 | $0.00602 |
| Sonnet 5 | $0.00012 | $0.00241 |
| Haiku 4.5 | $0.00006 | $0.00120 |
Grade A, and why
tailor-resume 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tailor Your Resume
Generate an ATS-optimized resume customized for a specific job posting. Read references/ats-rules.md before generating any HTML.
Step 0: Load Context
- Read
data/profile.ymlfor structured background data - Read
data/resume.mdif it exists (full resume text for detail) - Find the target evaluation:
- If the user specified a company/role, search
data/evaluations/for a match - If "latest" or no argument, use the most recent evaluation file
- If ambiguous, list recent evaluations and ask which one
- If the user specified a company/role, search
- If no evaluation exists:
"I need to evaluate the job first so I know what to emphasize. Paste the job posting and I'll assess it, then generate your resume."
Step 1: Keyword Extraction
From the evaluation + JD, extract 15-20 keywords that ATS systems scan for:
- Exact phrases from "Required Qualifications" (highest priority)
- Industry-standard terms (not creative synonyms)
- Certifications, tools, methodologies named in the JD
- Action verbs that match the responsibilities section
Step 2: Detect Language & Locale
- JD in English + US company: Letter paper (8.5" x 11")
- JD in English + non-US: A4
- JD in another language: match that language, use A4
- Resume language MUST match JD language
Step 3: Build Resume Content
Using the evaluation's Block E (Tailoring Plan) as a guide, construct each resume section from profile data:
Professional Summary (3-4 lines)
- Open with years of experience + core identity
- Include 3-5 top keywords from the JD naturally
- End with a forward-looking statement connecting to this specific role
- Use the narrative.headline from profile as a starting point
Experience Section
- Include all roles from work_history, most relevant FIRST
- For each role: Company, Title, Dates on one line
- 3-5 bullets per role, ordered by relevance to THIS JD
- Each bullet: Action verb + what you did + quantified result
- Mirror JD language exactly (if JD says "project management", write "project management", not "programme management")
- Pull specific numbers from proof_points and work_history highlights
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 · 143 lines · 61 tokens per session scan A 64b03f008209
tailor-resume is a skill published in the GitHub repository andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2- (490 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 1,205 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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