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 olegvg/resume-tailor-plugin --skill resume-tailorgit clone --depth 1 https://github.com/olegvg/resume-tailor-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/olegvg/resume-tailor-plugin/resume-tailor)<a href="https://agentmods.dev/skills/olegvg/resume-tailor-plugin/resume-tailor"><img src="https://agentmods.dev/badge/skills/olegvg/resume-tailor-plugin/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/olegvg/resume-tailor-plugin/resume-tailor"><img src="https://agentmods.dev/badge/skills/olegvg/resume-tailor-plugin/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 | $0.00039 | $0.02038 |
| Opus 5.5 | $0.00016 | $0.00815 |
| Sonnet 5.5 | $0.00008 | $0.00408 |
| Haiku 4.5 | $0.00004 | $0.00204 |
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 14d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Tailor
Produce the requested resume or application text from the candidate's actual record. Preserve factual scope and user constraints while selecting evidence for the reader. Review job fit, factual reliability, and document quality separately; never combine them into an estimated ATS score or interview probability.
Choose the task and settings
| Mode | Required context | Deliverable |
|---|---|---|
| Tailor to a job | Candidate record and JD | Relevant resume and concise review |
| General variant | Candidate record and target direction | Resume for that direction; no invented JD |
| Edit a section | Existing target and relevant facts | Only the requested section or local edit |
| Review | Document and stated criteria; JD if job-specific | Findings; rewrite only when requested |
| Cover letter / application note | Record and role or recipient | Requested message; no automatic resume or letter bundle |
Academic CVs require institution-specific criteria; do not apply business-resume page targets automatically. Platform profiles are separate artifacts: prepare requested content, then use the relevant platform workflow for authorized writes. Use a suitable platform workflow when available; this skill can prepare the requested content without a sibling skill.
Resolve these independent settings from the request, JD and established preferences:
- Purpose and role: technical contribution, engineering management, executive responsibility, consulting, or transition.
- Artifact mode and format: chat, existing-file edit, MD, DOCX, PDF, or a requested combination.
- Output language: separate from country; use consistent terminology and spelling.
- Recipient and market: employer context, target country or international hiring.
- Channel: ATS attachment, direct recruiter contact, or structured platform fields.
- Explicit instructions: included/excluded roles, photo, education, languages, length and disclosure limits.
Infer clear answers rather than repeat an intake questionnaire. Ask a focused question only when a missing answer materially changes truth, positioning or the target file. Use available Codex elicitation tools when useful, with ordinary chat as fallback. Draft supported parts while a necessary factual clarification is pending. Do not create extra files for a chat-only draft or stop for draft approval when a finished local document was requested.
What ships with it
10 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.
- references/ats-rules.md 7.5 KB
- references/document-export.md 8.8 KB
- references/html-template-en.html 6.7 KB
- references/html-template-ru.html 6.9 KB
- references/locale-en.md 2.5 KB
- references/locale-ru.md 2.7 KB
- references/profile-contract.md 5.9 KB
- references/research-sources.md 7.3 KB
- references/section-templates.md 4.6 KB
- references/voice-and-positioning.md 4.4 KB
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.
- 14d ago Changed · -419 lines · -56 tokens per session 267ab66d41cd
- 1mo ago First seen · 515 lines · 95 tokens per session scan A bd8260d7e24d
resume-tailor is a skill published in the GitHub repository olegvg/resume-tailor-plugin (47 stars, last pushed 13d ago), licensed MIT. It adds 39 tokens to every session and 2,038 once invoked, about $0.0002 per session on Opus 5.5. 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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