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 vignzpie/resume-agent-skills --skill career-profile-buildergit clone --depth 1 https://github.com/vignzpie/resume-agent-skillsWrote 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/vignzpie/resume-agent-skills/career-profile-builder)<a href="https://agentmods.dev/skills/vignzpie/resume-agent-skills/career-profile-builder"><img src="https://agentmods.dev/badge/skills/vignzpie/resume-agent-skills/career-profile-builder/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/vignzpie/resume-agent-skills/career-profile-builder"><img src="https://agentmods.dev/badge/skills/vignzpie/resume-agent-skills/career-profile-builder.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 | $0.00143 | $0.02725 |
| Opus 5 | $0.00072 | $0.01362 |
| Sonnet 5 | $0.00029 | $0.00545 |
| Haiku 4.5 | $0.00014 | $0.00272 |
Grade A, and why
career-profile-builder 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 11d 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Career Profile Builder
A career profile is a long-form, honest, comprehensive document about a person's professional life. It is not a resume. A resume is a tailored, 1-2 page output for one specific job. The profile is the superset that makes every future resume cheap to produce.
Why this skill exists
Most resume tools ask three flat questions and produce a generic resume. The reason resumes feel generic is the discovery is shallow. The user's best material — the JWKS verification work, the "we ran 242 services across two platforms" number, the "we went from 14 to 4 engineers and shipped more" inflection — never gets surfaced because nobody asks the right follow-up question.
This skill exists to do the deep interview once, write it down once, and let every future tailored resume draw from it.
Output contract
The skill produces ONE primary artifact: career_profile.md, in a directory the user picks (default: current working directory).
The file has this structure. Sections that don't apply can be empty or omitted, but keep the numbering stable so future tools can find sections:
1. Identity (name, location, contact, links — LinkedIn / GitHub / portfolio)
2. Headline & target roles (1-3 target role titles, IC vs. mgmt track, geography)
3. Summary (3-5 sentence narrative the user agrees with)
4. Experience snapshot (a one-line per role table for quick scanning)
5. Experience deep-dive (per role: scope, stack, projects, metrics, what shipped)
6. Education
7. Certifications
8. Technical skills (grouped — languages, frameworks, infra, tooling, domain)
9. Domain expertise (security, ML, payments, etc. — the substantive areas)
10. Leadership & people (team sizes, mentorship, hiring, cross-team)
11. Open source / public artifacts (talks, papers, OSS, patents, blog)
12. Languages spoken (human languages — relevant for some geographies)
13. Awards & recognition
14. Volunteer / community
15. Interests (only if the user wants them — many seniors omit this)
16. Visa / work authorization status (only if relevant to target geography)
17. Achievements bank (a flat list of "things worth bragging about" — the
raw material that gets quoted in tailored resume bullets)
18. Known gaps (things the user is uncertain about claiming, or doesn't have
— e.g., "PCI work was regex-based, not formally certified")
19. Pre-built framings (sentences the user has approved for sensitive topics
— e.g., "frame my compliance work as 'aligned with PCI-DSS intent', never
as 'PCI-DSS certified'")
What ships with it
2 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.
- 11d ago First seen · 165 lines · 143 tokens per session scan A ab3752f7b0fb
career-profile-builder is a skill published in the GitHub repository vignzpie/resume-agent-skills (6 stars, last pushed 4mo ago), licensed MIT. It adds 143 tokens to every session and 2,725 once invoked, about $0.0007 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.
Other skills, from other repositories
ats-resume-formatting
Use this skill whenever a resume needs to be formatted, reviewed, or debugged for upload to Workday, Greenhouse, Lever, iCIMS, or any other ATS (applicant tracking system). Trigger on requests like "format my resume for ATS," "is my resume ATS-friendly," "why is Workday leaving fields blank," "clean up my resume for…
subagent-driven-development
Execute plans via delegatetask subagents (2-stage review).
mcporter
List, auth, and call MCP servers/tools from the terminal.
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
telegram-setup
Connect a Telegram bot to the Vellum Assistant gateway with automated webhook registration and credential storage.