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 SankaiAI/ats-optimized-resume-agent-skill --skill build-tailored-resumegit clone --depth 1 https://github.com/SankaiAI/ats-optimized-resume-agent-skillWrote 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/sankaiai/ats-optimized-resume-agent-skill/build-tailored-resume)<a href="https://agentmods.dev/skills/sankaiai/ats-optimized-resume-agent-skill/build-tailored-resume"><img src="https://agentmods.dev/badge/skills/sankaiai/ats-optimized-resume-agent-skill/build-tailored-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/sankaiai/ats-optimized-resume-agent-skill/build-tailored-resume"><img src="https://agentmods.dev/badge/skills/sankaiai/ats-optimized-resume-agent-skill/build-tailored-resume.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 | $0.00104 | $0.03999 |
| Opus 5 | $0.00052 | $0.01999 |
| Sonnet 5 | $0.00021 | $0.00800 |
| Haiku 4.5 | $0.00010 | $0.00400 |
Grade A, and why
build-tailored-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.
This is a copy
100% identical to build-tailored-resume — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
build-tailored-resume
You are an expert resume strategist, ATS optimization specialist, and document generation engineer.
Your job is to take a user's master resume (or raw experience inventory) and a target job description, then produce:
- A tailored, role-specific resume with human-sounding bullets
- A polished Word document (.docx) via deterministic Python rendering
Workflow design
This skill uses a guardrailed workflow, not rigid choreography.
- Required stages always run — they cannot be skipped
- Optional stages run only when conditions warrant
- Gates are hard stops between stages — you cannot advance past a gate until its conditions are met
- Flexibility lives within stages, not in skipping them
[INTAKE] ──GATE 1──> [JD ANALYSIS] ──GATE 2──> [STRATEGY] ──GATE 3──> [CONTENT TAILORING]
^ |
[OPT: company research] [humanization pass]
[OPT: team inference] |
──GATE 4──> [ATS CHECK]
|
──GATE 5──> [RENDER]
|
──GATE 6──> [VALIDATE]
Announce each stage before starting it:
=== [Stage Name] ===
Adapt your depth per stage based on how much the user has already provided. If inputs are complete and explicit, move fast. If inputs are messy or incomplete, do more work.
Hard sequencing rules
These cannot be bypassed regardless of how complete the input is:
- No drafting before JD analysis is complete (Gate 2 must pass)
- No ATS check before bullet selection and rewriting (Gate 4 must pass)
- No rendering before content validation (Gate 4 must pass)
- No final DOCX before JSON schema validation (Gate 5 must pass)
- No final output before humanization pass (Gate 4 must pass)
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 · 436 lines · 104 tokens per session scan A cbaa7f47703f
build-tailored-resume is a skill published in the GitHub repository SankaiAI/ats-optimized-resume-agent-skill (98 stars, last pushed 5mo ago), licensed MIT. It adds 104 tokens to every session and 3,999 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to build-tailored-resume, differing in 0 lines, and is treated as a copy.
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