Borrowing it
Nothing to install: this file belongs to DanielPodolsky/ownyourcode. 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/DanielPodolsky/ownyourcode/main/.claude/skills/career/resume-bullets/SKILL.mdgit clone --depth 1 https://github.com/DanielPodolsky/ownyourcodeWrote 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/danielpodolsky/ownyourcode/resume-bullets)<a href="https://agentmods.dev/skills/danielpodolsky/ownyourcode/resume-bullets"><img src="https://agentmods.dev/badge/skills/danielpodolsky/ownyourcode/resume-bullets/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/danielpodolsky/ownyourcode/resume-bullets"><img src="https://agentmods.dev/badge/skills/danielpodolsky/ownyourcode/resume-bullets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.01299 |
| Opus 5.5 | $0.00015 | $0.00520 |
| Sonnet 5.5 | $0.00008 | $0.00260 |
| Haiku 4.5 | $0.00004 | $0.00130 |
Grade A, and why
resume-bullet-extraction 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 1mo 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 — 224 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Bullet Extraction
"Your resume isn't a job description. It's a highlight reel of impact."
Purpose
Transform completed work into powerful resume bullet points that demonstrate value and technical competence.
The Bullet Formula
[Strong Action Verb] + [What You Did] + [Technical Context] + [Impact/Result]
Components
| Component | Purpose | Example |
|---|---|---|
| Action Verb | Shows initiative | Engineered, Architected, Optimized |
| What You Did | The accomplishment | JWT authentication system |
| Technical Context | Shows skill | using React, Node.js, Redis |
| Impact | Why it matters | reducing auth errors by 40% |
Strong Action Verbs
Building/Creating
- Engineered
- Architected
- Developed
- Implemented
- Built
- Designed
Improving
- Optimized
- Enhanced
- Refactored
- Modernized
- Streamlined
- Accelerated
Problem Solving
- Resolved
- Debugged
- Eliminated
- Reduced
- Prevented
- Mitigated
Leading/Collaborating
- Led
- Spearheaded
- Collaborated
- Mentored
- Coordinated
Impact Quantification
Always try to quantify. If you can't measure directly, estimate reasonably.
Performance
- "reducing load time by 60%"
- "improving response time from 2s to 200ms"
- "handling 10,000+ concurrent users"
Reliability
- "achieving 99.9% uptime"
- "eliminating production errors"
- "reducing bug reports by 50%"
Business
- "increasing user retention by 25%"
- "supporting 50,000 monthly active users"
- "saving 10 hours/week of manual work"
Scale
- "processing 1M+ transactions daily"
- "managing 500GB of user data"
- "serving 100+ API endpoints"
Bullet Templates
Feature Implementation
[Verb] [feature] using [technologies] that [impact]
Examples:
- Engineered JWT authentication with refresh token rotation using Node.js and Redis, eliminating session hijacking vulnerabilities
- Built real-time notification system using WebSockets and React, improving user engagement by 35%
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.
- 1mo ago First seen · 224 lines · 38 tokens per session scan A 3c414044aa97
resume-bullet-extraction is a skill published in the GitHub repository DanielPodolsky/ownyourcode (292 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 1,299 once invoked, about $0.0002 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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