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/dcassil/resume-kit/resume-workflownpx skills add dcassil/resume-kit --skill resume-workflowgit clone --depth 1 https://github.com/dcassil/resume-kitWrote 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/dcassil/resume-kit/resume-workflow)<a href="https://agentmods.dev/skills/dcassil/resume-kit/resume-workflow"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/resume-workflow.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 5.1 | $0.00053 | $0.00341 |
| Opus 5 | $0.00026 | $0.00170 |
| Sonnet 5 | $0.00011 | $0.00068 |
| Haiku 4.5 | $0.00005 | $0.00034 |
Grade A, and why
resume-workflow 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 4d 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.
What it actually says
resume-workflow - compatibility entry point
Use complete-resume-flow for the canonical end-to-end order:
- prepare-base-resume
- ingest-job
- tailor-resume
- finalize-resume
The four smaller flow skills are the source of truth for per-stage gates and
walkthrough details. This skill is retained so existing prompts that name
resume-workflow still route correctly, but it must stay a thin pointer rather
than a second copy of the workflow.
Repeated Use
Run prepare-base-resume once per resume. Then run ingest-job, tailor-resume, and finalize-resume repeatedly for each job without rerunning resume preparation unless the source resume changes.
Optional Supporting Skills
Use these from within the four flows when their respective flow skill calls for them:
- check-ats-view: optional read-only parser view after preparation.
- review-resume: optional advice-only review after a tailored resume exists.
- interview-missing-job-description: optional truth-gated interview when the second tailoring score is still low or required coverage remains missing.
- compare-versions and select-resume: optional maintenance utilities for multi-resume projects.
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.
- 4d ago First seen · 41 lines · 53 tokens per session scan A b48057ac6c9c
resume-workflow is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 24d ago), licensed Apache-2.0. It adds 53 tokens to every session and 341 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 2026-08-31.
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