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 skills add kyoungbinkim/give-me-job --skill resume-intakegit clone --depth 1 https://github.com/kyoungbinkim/give-me-jobWrote 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/kyoungbinkim/give-me-job/resume-intake)<a href="https://agentmods.dev/skills/kyoungbinkim/give-me-job/resume-intake"><img src="https://agentmods.dev/badge/skills/kyoungbinkim/give-me-job/resume-intake/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/kyoungbinkim/give-me-job/resume-intake"><img src="https://agentmods.dev/badge/skills/kyoungbinkim/give-me-job/resume-intake.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 | $0.00125 | $0.01462 |
| Opus 5 | $0.00063 | $0.00731 |
| Sonnet 5 | $0.00025 | $0.00292 |
| Haiku 4.5 | $0.00013 | $0.00146 |
Grade A, and why
resume-intake 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 3d 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Intake
Use this skill to turn raw career material into a structured resume.md that
other give-me-job skills can trust.
Trigger
Use this skill when resume.md is missing, thin, outdated, or lacks evidence that can support a Korean cover letter.
Do Not Trigger
Do not use this skill when the user already has a usable resume.md and only needs JD analysis, cover letter drafting, HR review, or packaging.
Autonomy Level
DoF: LOW
Follow user-provided facts only. Do not infer missing employers, dates, metrics, awards, tools, responsibilities, or outcomes.
Permitted inferences:
- Career type from stated graduation date, work history, or years of experience.
- Evidence strength from specificity, role clarity, and observable result.
Prohibited inferences:
- Do not upgrade a school project into professional work.
- Do not turn participation into ownership unless the user says they owned the work.
Input Contract
Required context:
- Raw career material from the user or an existing
resume.md.
Optional context:
- Target role, target company, JD, or desired cover-letter questions.
Required parameters:
target_role: target role when available, otherwiseunknown.career_type:new-grad,experienced, orunknown.
Outputs produced:
resume.mddraft, a patch/update plan, or focused follow-up questions.
Workflow
- Read
references/resume-schema.mdbefore creating or rewritingresume.md. - Determine whether the user is
new-grad,experienced, or stillunknown. - Read an existing
resume.mdif present. Preserve valid facts, but migrate oldProfile,Core Summary,Experience Bank, orWork Historystructures into the canonical sections. - Create or update the metadata block:
last-updated: today's datecareer-type:new-gradorexperiencedtarget-role: target role orUnknownintake-version: increment the existing value, or use1
- Collect raw experiences in the user's language first. Do not force every field before making progress, but ask for missing facts that materially affect evidence quality.
- Build the canonical top-level sections in this order:
Personal InfoTarget RoleSummaryWork Experiencefor experienced candidates, or for new graduates only when they have relevant work/internship/part-time experienceProjectsEducationSkillsCertificates & Awardsonly when relevant
- Split work and project material into STAR/CAR bullets:
- action verb
- what was done
- method, scale, or constraints
- measurable or observable result
What ships with it
3 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.
- 3d ago Changed · +10 lines c117877fbdd8
- 12d ago First seen · 153 lines · 125 tokens per session scan A f079004f7cf4
resume-intake is a skill published in the GitHub repository kyoungbinkim/give-me-job (5 stars, last pushed 3d ago), licensed MIT. It adds 125 tokens to every session and 1,462 once invoked, about $0.0006 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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