Borrowing it
Nothing to install: this file belongs to ARPeeketi/claude-resume-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ARPeeketi/claude-resume-kit/main/.claude/skills/make-resume/SKILL.mdgit clone --depth 1 https://github.com/ARPeeketi/claude-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/arpeeketi/claude-resume-kit/make-resume)<a href="https://agentmods.dev/skills/arpeeketi/claude-resume-kit/make-resume"><img src="https://agentmods.dev/badge/skills/arpeeketi/claude-resume-kit/make-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/arpeeketi/claude-resume-kit/make-resume"><img src="https://agentmods.dev/badge/skills/arpeeketi/claude-resume-kit/make-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 | $0.00009 | $0.02566 |
| Opus 5 | $0.00005 | $0.01283 |
| Sonnet 5 | $0.00002 | $0.00513 |
| Haiku 4.5 | $0.00001 | $0.00257 |
Grade A, and why
make-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 11d 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 — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/make-resume
User input: $ARGUMENTS
Parse $ARGUMENTS:
- File path (e.g.,
JDs/*.txt) → read that file for the JD - Text after the path starting with "Focus:"/"Emphasize:"/"Downplay:" → focus directive
- "Quick:" prefix → Quick Mode (see below)
- Empty → ask the user for the JD
- Inline JD text (no file path) → save to
JDs/temp_<company>.txt, proceed normally
Safety Rules (ALWAYS ENFORCED)
Accuracy > Relevance > Impact > ATS > Brevity
Read config.md Provenance Flags before generating any content. Verify every claim against that table.
- Use the email from
config.mdPersonal Info in all outputs - Resume bullets: ALL variable bullets are 2L (CV: 2L/3L mix OK, check
config.mdDocument Preferences) - Source ALL bullet content from
resume_builder/experience/files. Never fabricate. - Run
python3 resume_builder/helpers/char_count.pyafter each section — the tool is authoritative
User Input During Execution
If the user provides feedback, corrections, or suggestions at any point:
- Acknowledge the input immediately
- If it affects an already-written section: go back, fix it, re-run char count gate
- If it changes the bullet plan: update session file Bullet Plan
- If it's a question: answer it, then continue from current step
- Never restart a phase — resume from current position
Startup
Read resume_builder/reference/shared_ops.md for session startup, file derivation, and organization protocols.
Then:
- Read
CLAUDE.md— check Active Sessions and KB Corrections - Read
config.md— load Provenance Flags, email, document preferences, role types - If session file exists for this JD:
- Read session file, check Status
- Phase 0: DONE, Phase 1: PENDING → resume at Phase 1
- Phase 1: DONE → resume at Budget Gate
- Phase 2: IN_PROGRESS → read .tex, check what sections exist, resume from checkpoint
- Phase 2: DONE → "Resume already done. Run /make-cl next." Show next command. Stop.
- If no session file: proceed to Phase 0
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.
- 11d ago First seen · 238 lines · 9 tokens per session scan A cf7f223a6374
make-resume is a skill published in the GitHub repository ARPeeketi/claude-resume-kit (248 stars, last pushed 6mo ago), licensed MIT. It adds 9 tokens to every session and 2,566 once invoked, about $0.0000 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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