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/edit-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/edit-resume)<a href="https://agentmods.dev/skills/arpeeketi/claude-resume-kit/edit-resume"><img src="https://agentmods.dev/badge/skills/arpeeketi/claude-resume-kit/edit-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/edit-resume"><img src="https://agentmods.dev/badge/skills/arpeeketi/claude-resume-kit/edit-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 | $0.00014 | $0.02192 |
| Opus 5 | $0.00007 | $0.01096 |
| Sonnet 5 | $0.00003 | $0.00438 |
| Haiku 4.5 | $0.00001 | $0.00219 |
Grade A, and why
edit-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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/edit-resume
User input: $ARGUMENTS
Parse $ARGUMENTS: First argument is the .tex file path (required). A .md path is the critique file. Text in quotes is inline instructions.
/edit-resume output/Acme/e2e_acme_resume.tex/edit-resume output/Acme/e2e_acme_resume.tex output/Acme/critique_acme.md/edit-resume output/Acme/e2e_acme_resume.tex "shorten Position 1 header, fill last page"
If only .tex path and no instructions: ask the user what to fix.
Safety Rules (ALWAYS ENFORCED)
Accuracy > Relevance > Impact > ATS > Brevity
Read config.md Provenance Flags before editing any content. Verify every claim against that table.
- Use the email from
config.mdPersonal Info in all outputs - Source ALL bullet content from
resume_builder/experience/files. Never fabricate. - Resume bullets: ALL variable bullets must be 2L (CV: 2L/3L mix OK, check
config.mdDocument Preferences) - Run
python3 resume_builder/helpers/char_count.pyafter edits — the tool is authoritative
FIXED Sections — Refuse if Asked to Edit
Check config.md FIXED Sections for the list of template-locked sections. Say no and explain: these are template-locked across all outputs.
VARIABLE sections only: Summary, Technical Skills, Research Experience bullets/headers.
User Input During Execution
If the user provides feedback, corrections, or suggestions at any point:
- Acknowledge the input immediately
- If it affects an already-applied edit: go back, fix it, re-run char count gate
- If it changes the edit plan: update session file, adjust remaining edits
- 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 — Fresh Session Startup + Session File Derivation.
Read CLAUDE.md — check Active Sessions and KB Corrections.
Read config.md — load Provenance Flags, email, FIXED Sections, document preferences.
Find and read the session file (use derivation protocol from shared_ops.md).
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 · 209 lines · 14 tokens per session scan A ce705cdbb4e1
edit-resume is a skill published in the GitHub repository ARPeeketi/claude-resume-kit (248 stars, last pushed 6mo ago), licensed MIT. It adds 14 tokens to every session and 2,192 once invoked, about $0.0001 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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