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 Natsummerance/readMD --skill resume-bullet-writergit clone --depth 1 https://github.com/Natsummerance/readMDWrote 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/natsummerance/readmd/resume-bullet-writer)<a href="https://agentmods.dev/skills/natsummerance/readmd/resume-bullet-writer"><img src="https://agentmods.dev/badge/skills/natsummerance/readmd/resume-bullet-writer/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/natsummerance/readmd/resume-bullet-writer"><img src="https://agentmods.dev/badge/skills/natsummerance/readmd/resume-bullet-writer.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 | $0.00018 | $0.03442 |
| Opus 5 | $0.00009 | $0.01721 |
| Sonnet 5 | $0.00004 | $0.00688 |
| Haiku 4.5 | $0.00002 | $0.00344 |
Grade A, and why
resume-bullet-writer 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 6d 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.
This is a copy
100% identical to resume-bullet-writer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 438 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resume Bullet Writer
When to Use This Skill
Use this skill when the user wants to:
- Write or improve resume bullet points
- Transform weak descriptions into strong achievements
- Add metrics and quantifiable results
- Make their experience more compelling
- Mentions: "improve my bullets", "make my resume stronger", "quantify my achievements", "results-driven"
Also use when you see weak bullets that need improvement (passive language, no metrics, vague descriptions).
Core Capabilities
- Transform weak bullet points into achievement-focused statements
- Apply STAR method and X-Y-Z formula
- Add quantifiable metrics and results
- Use strong action verbs
- Tailor bullets to specific roles/industries
- Ensure every bullet shows impact, not just duties
The Bullet Point Problem
Most resumes have weak bullets that list job duties instead of achievements:
❌ Weak Bullets (What NOT to do):
- "Responsible for managing team"
- "Helped with customer service"
- "Worked on improving processes"
- "Assisted with projects"
These are passive, vague, and don't show impact or results.
✅ Strong Bullets (What TO do):
- "Led cross-functional team of 12 to deliver $2M product, increasing revenue by 35%"
- "Resolved 50+ customer issues daily, improving satisfaction scores from 3.2 to 4.8/5"
- "Streamlined approval process, reducing cycle time by 40% (from 10 to 6 days)"
- "Managed portfolio of 8 concurrent projects with 100% on-time delivery rate"
These are active, specific, and quantify the impact.
Core Frameworks
1. The X-Y-Z Formula (Google Method)
Structure: "Accomplished [X] as measured by [Y] by doing [Z]"
- X = What you achieved
- Y = How you measured it
- Z = What actions you took
Examples:
❌ BEFORE: "Managed social media accounts"
✅ AFTER: "Grew Instagram following by 250% (5K to 17.5K) by implementing daily content calendar and influencer partnerships"
X = Grew Instagram following by 250%
Y = 5K to 17.5K followers
Z = Daily content calendar + influencer partnerships
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.
- 6d ago First seen · 438 lines · 18 tokens per session scan A 49ea6a533a72
resume-bullet-writer is a skill published in the GitHub repository Natsummerance/readMD (23 stars, last pushed 6d ago), licensed MIT. It adds 18 tokens to every session and 3,442 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to resume-bullet-writer, differing in 0 lines, and is treated as a copy.
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