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/extract-evidencenpx skills add dcassil/resume-kit --skill extract-evidencegit 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/extract-evidence)<a href="https://agentmods.dev/skills/dcassil/resume-kit/extract-evidence"><img src="https://agentmods.dev/badge/skills/dcassil/resume-kit/extract-evidence.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 | $0.00031 | $0.00831 |
| Opus 5 | $0.00015 | $0.00415 |
| Sonnet 5 | $0.00006 | $0.00166 |
| Haiku 4.5 | $0.00003 | $0.00083 |
Grade A, and why
extract-evidence 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 5d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Renamed:
extract-evidencewasbuild-candidate-evidencebefore 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 input: a resume/master
ResumeDocumentJSON (config.jsonactive_resumeor an explicit path). - If missing: STOP and run parse-resume to produce the
ResumeDocumentJSON before calling this skill.
Purpose
Produce structured CandidateEvidence records that ground subsequent
update-keywords / update-terminology and validate-facts calls. Evidence records capture
what the candidate can truthfully claim, preventing the alignment engine from
fabricating experience.
When to use
- Before running
update-keywordsorupdate-terminologywith evidence constraints. - Before running
validate-factsto produce an evidence baseline. - When the user wants to review and approve their own claims before alignment.
Inputs
| Field | Type | Notes |
|---|---|---|
resume |
ResumeDocument |
Source resume from which evidence is derived |
approved_claims |
list[CandidateEvidence] | list[str] | null |
Optional pre-approved claims to include (bypasses engine derivation for those items) |
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 build-evidence --resume <resume.json> \
[--approved-claims <claims.json>] \
[--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.
- 5d ago First seen · 88 lines · 31 tokens per session scan A 478d804c67fe
extract-evidence is a skill published in the GitHub repository dcassil/resume-kit (0 stars, last pushed 25d ago), licensed Apache-2.0. It adds 31 tokens to every session and 831 once invoked, about $0.0002 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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