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/select-resumenpx skills add dcassil/resume-kit --skill select-resumegit 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/select-resume)<a href="https://agentmods.dev/skills/dcassil/resume-kit/select-resume"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/select-resume.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 | $0.00027 | $0.00759 |
| Opus 5 | $0.00014 | $0.00380 |
| Sonnet 5 | $0.00005 | $0.00152 |
| Haiku 4.5 | $0.00003 | $0.00076 |
Grade A, and why
select-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 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.
How it starts
The opening of the file, as written. The whole thing — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Renamed:
select-resumewasselect-best-resumebefore v1.0.0 (see RIT-A-0005).
Inputs must be canonical JSON. This capability consumes a resume as a
ResumeDocumentJSON (build it from a PDF/DOCX/MD/text file with the parse-resume skill) and, where a job is involved, aJobDescriptionJSON (build it with parse-job so skills-coverage scoring works). Run those conversions in subagents, then pass the saved JSON paths here — they live underresume-kit/resumes/andresume-kit/jobs/.
Prerequisites
Run the shared Prerequisites gate first — see
_shared/prerequisites.md.
- Required inputs: a set of candidate
ResumeDocumentJSONs (two or more) and aJobDescriptionJSON (config.jsonactive_jobor an explicit path). - If missing: STOP and name the upstream skill — any missing resume JSON → run parse-resume; missing job JSON → run parse-job.
Purpose
Rank a collection of ResumeDocument objects against a JobDescription and
return the best match as a ResumeSelectionResult. Useful when a candidate
maintains multiple resume variants.
When to use
- When the user has two or more resume versions and needs to pick the right one to submit for a job.
- As a pre-step before deciding whether alignment is worth running.
Inputs
| Field | Type | Notes |
|---|---|---|
resumes |
list[ResumeDocument] |
At least one resume; order does not matter |
job |
JobDescription |
The target job |
labels |
list[str] | null |
Optional human-readable names for each resume (parallel to resumes) |
Options (CapabilityOptions)
| Option | Default | Effect |
|---|---|---|
strict |
false | Escalate advisory warnings to failures |
no_llm has no effect — this capability is always deterministic.
How to invoke
CLI
resume-tool select --resumes <r1.json> <r2.json> --job <job.json> \
[--labels "version-a" "version-b"] \
[--output {json,text,md}] [--strict]
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 · 82 lines · 27 tokens per session scan A a1fd860d2b49
select-resume is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 24d ago), licensed Apache-2.0. It adds 27 tokens to every session and 759 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 2026-08-31.
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