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 suxrobGM/jobpilot --skill tailor-resumegit clone --depth 1 https://github.com/suxrobGM/jobpilotWrote 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/suxrobgm/jobpilot/tailor-resume)<a href="https://agentmods.dev/skills/suxrobgm/jobpilot/tailor-resume"><img src="https://agentmods.dev/badge/skills/suxrobgm/jobpilot/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/suxrobgm/jobpilot/tailor-resume"><img src="https://agentmods.dev/badge/skills/suxrobgm/jobpilot/tailor-resume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 39 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 44 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 89 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 82 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Data Exfiltration · line 155 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 168 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.03455 |
| Opus 5.5 | $0.00011 | $0.01382 |
| Sonnet 5.5 | $0.00005 | $0.00691 |
| Haiku 4.5 | $0.00003 | $0.00346 |
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 23d 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 — 263 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tailor Resume - Reuse or Create
Choose or produce a resume for a specific job. You decide reuse vs create; the user does not pre-select.
Setup
Follow ../_shared/setup.md. The profile response includes resumes (every base with label,
hasData, variantCount, isPrimary).
Step 1: Build the JD object
Detect the argument shape:
- Starts with
{→ parse as brief JSON. No navigation, no snapshot. - Starts with
http→browser_navigate, thenbrowser_snapshotthe posting body (per../_shared/browser-tips.md) and build the brief (../_shared/job-brief.md) from it. - Otherwise → pasted JD text; parse the same fields manually.
From the brief (title, requirements[], responsibilities[], skills[], yearsExperience,
descriptionExcerpt), assemble:
title,domain(fintech/healthtech/devtools/…),standouts(clearance, on-call, on-site, …).roleFamily∈frontend | backend | fullstack | mobile | data | ml | devops | qa | other- matchtitle+descriptionExcerptagainst: frontend (frontend,ui,react,vue,angular), backend (backend,api,services), fullstack (full-stack), mobile (ios,android,react native,flutter), data (data engineer/scientist,analytics,etl), ml (ml,ai engineer,mlops), devops (devops,sre,platform,infrastructure), qa (qa,sdet,test engineer).seniority∈junior | mid | senior | staff | lead- from title (junior/entry→ junior;senior/sr.→ senior;staff→ staff;lead/principal→ lead; else mid). Cross-checkyearsExperience: 0-2 junior, 3-5 mid, 6-9 senior, 10+ staff/lead.keywords- top 10 required skill terms fromskills∪ extracted fromrequirements. Lowercase, deduped, must-have ranked above nice-to-have.responsibilityTerms- top 5 verbs/nouns fromresponsibilities(design,mentor,migrate,on-call, …).
Step 2: Pick the Base
Campaign choice wins. If --base <resumeId> was passed (the campaign's selected resume) and
that resume has hasData or a sourceFilename, use it as BASE_ID (skip scoring). Else primary
wins: if primaryResumeId is set and that resume has hasData or a sourceFilename,
use it as BASE_ID (skip scoring; Step 3 extracts content if missing). Otherwise score each
resumes entry (max 10):
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.
- 23d ago Changed · +57 lines 166d11e2a48c
- 28d ago Changed · -2 lines e00a8e76d308
- 1mo ago Changed · +12 lines 783f9de40566
- 1mo ago Changed · +9 lines 4b1a555b7fed
- 1mo ago First seen · 187 lines · 27 tokens per session scan A ed7ff92d6f6c
tailor-resume is a skill published in the GitHub repository suxrobGM/jobpilot (102 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 3,455 once invoked, about $0.0001 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 2026-08-30.
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