Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add snehag01/rebound/plugin install reboundWrote 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/snehag01/rebound/resume-export)<a href="https://agentmods.dev/skills/snehag01/rebound/resume-export"><img src="https://agentmods.dev/badge/skills/snehag01/rebound/resume-export/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/snehag01/rebound/resume-export"><img src="https://agentmods.dev/badge/skills/snehag01/rebound/resume-export.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 | $0.00055 | $0.01028 |
| Opus 5 | $0.00028 | $0.00514 |
| Sonnet 5 | $0.00011 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
Grade A, and why
resume-export scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Export — .docx + ATS-safe .pdf
Turn a tailored resume config into files. Layout is intentionally ATS-safe: single column, real text (no tables, text boxes, columns, or images-of-text), standard fonts, navy section rules.
Scripts (in this skill's scripts/)
build_resume.py <config.json>→ writes the.docx.to_pdf.py <in.docx> [out.pdf]→ converts and verifies a real text layer (ATS-readable), trying LibreOffice → macOS Word → docx2pdf.
Run them with the plugin root env var:
python3 "${CLAUDE_PLUGIN_ROOT}/skills/resume-export/scripts/build_resume.py" /path/config.json
python3 "${CLAUDE_PLUGIN_ROOT}/skills/resume-export/scripts/to_pdf.py" /path/out.docx /path/out.pdf
Dependency: python-docx
The generator needs python-docx. Install once into a bundled dir and point the scripts at it:
python3 -m pip install --target="$HOME/.rebound/pylibs" python-docx >/dev/null 2>&1
export REBOUND_PYLIBS="$HOME/.rebound/pylibs"
build_resume.py auto-adds $REBOUND_PYLIBS (and ~/.rebound/pylibs, /tmp/pylibs) to its path.
Config schema (fully generic — assemble it from the base resume + JD)
{
"out": "/abs/path/<JobId>_<Init>.docx",
"name": "FIRST LAST",
"title": "Senior Software Engineer | Focus A · Focus B · Focus C",
"contact": "+1 ... | email | linkedin.com/in/... | City, ST",
"accent": "1F3A5F",
"summary": "3-4 sentences, JD-mirrored, truthful.",
"sections": [
{"heading": "Work Experience", "type": "experience",
"roles": [{"title": "Senior Engineer — Company", "meta": "City, ST | 2022 – Present",
"bullets": ["**Bolded outcome** then detail with a metric.", "..."]}]},
{"heading": "Selected Highlights", "type": "bullets", "bullets": ["**Thing** ...", "..."]},
{"heading": "Technical Skills", "type": "skills",
"skills": [{"label": "Languages", "items": "Java, Go, Python"},
{"label": "Cloud & DevOps", "items": "AWS, Kubernetes, CI/CD"}]},
{"heading": "Education", "type": "roles_only",
"roles": [{"title": "B.S. Computer Science — University", "meta": "GPA 3.9 | 2016"}]},
{"heading": "Certifications & Achievements", "type": "bullets", "bullets": ["**AWS ...**", "..."]}
]
}
- Section
type:experience(title/meta + bullets),bullets(heading + list),skills(label: items),roles_only(title + right-aligned meta, no bullets — for education). - Inline markup in any string:
**bold**,*italic*.
What ships with it
2 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.
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.
- 8d ago First seen · 66 lines · 55 tokens per session scan A 3d3a504b2b08
resume-export is a skill published in the GitHub repository snehag01/rebound (4 stars, last pushed 2mo ago), licensed MIT. It adds 55 tokens to every session and 1,028 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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