Borrowing it
Nothing to install: this file belongs to farrelfatah/nextjobkit. 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/farrelfatah/nextjobkit/main/.agents/skills/tailor-resume/SKILL.mdgit clone --depth 1 https://github.com/farrelfatah/nextjobkitWrote 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/farrelfatah/nextjobkit/tailor-resume)<a href="https://agentmods.dev/skills/farrelfatah/nextjobkit/tailor-resume"><img src="https://agentmods.dev/badge/skills/farrelfatah/nextjobkit/tailor-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/farrelfatah/nextjobkit/tailor-resume"><img src="https://agentmods.dev/badge/skills/farrelfatah/nextjobkit/tailor-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 | $0.00067 | $0.00607 |
| Opus 5.5 | $0.00027 | $0.00243 |
| Sonnet 5.5 | $0.00013 | $0.00121 |
| Haiku 4.5 | $0.00007 | $0.00061 |
Grade A, and why
tailor-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 2mo 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tailor Resume
Create a focused application artifact without changing the candidate's history.
Preconditions
Read:
profile/candidate.md.- The configured evidence file.
- The configured master resume.
- The complete job listing and job-fit analysis. If no analysis exists, run
analyze-job-fitfirst or produce its required map before tailoring.
If a claim needed for the intended positioning is unsupported, invoke evidence discovery or ask a focused question. Do not fill the gap with generic confidence.
Tailoring Workflow
- Identify the role's hiring thesis and top requirements.
- Select confirmed evidence that directly supports those requirements.
- Copy from the master resume, never from another tailored version.
- Reorder, compress, and rephrase true content for relevance.
- Keep official titles, employers, dates, metrics, and project maturity accurate.
- Preserve material metric qualifiers such as sample size, pilot or test status, attribution, confidence, and scope.
- Preserve export-compatible Markdown headings and simple bullet structure.
- Create the version under
tailored/[role-type]/using:
[candidate-slug]-[role-type]-[company]-[yyyymmdd].md
- Record the prepared version in the application tracker only after the artifact exists.
- Never mark an application submitted without explicit confirmation.
Use an established role-type folder when the repository has one. Otherwise choose a stable occupational family such as product-designer; do not create separate folders for every seniority level.
Content Standard
- Lead with the capability the role is actually hiring.
- Use implementation or AI evidence as support unless it is central to the role.
- Keep each bullet focused on one action, artifact, method, and outcome.
- Prefer specific artifacts and decisions over adjectives.
- Remove irrelevant details before shrinking typography or breaking the template.
- Keep claims defensible in a live interview.
Acceptable tailoring includes reordering facts, selecting relevant projects, matching supported terminology, and clarifying context. It never includes changing titles, fabricating tools, promoting team outcomes to personal ownership, or inventing experience duration.
What ships with it
1 file 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.
- 2mo ago First seen · 65 lines · 67 tokens per session scan A 3ae9ad65107c
tailor-resume is a skill published in the GitHub repository farrelfatah/nextjobkit (5 stars, last pushed 16d ago), licensed MIT. It adds 67 tokens to every session and 607 once invoked, about $0.0003 per session on Opus 5.5. 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.
tailor-resume compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| tailor-resumefarrelfatah/nextjobkit | Skill | 5 | 16d ago | MIT | A | 67 | Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |