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 jdevalk/skills --skill github-profilegit clone --depth 1 https://github.com/jdevalk/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/jdevalk/skills/github-profile)<a href="https://agentmods.dev/skills/jdevalk/skills/github-profile"><img src="https://agentmods.dev/badge/skills/jdevalk/skills/github-profile/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/jdevalk/skills/github-profile"><img src="https://agentmods.dev/badge/skills/jdevalk/skills/github-profile.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 | $0.00141 | $0.01713 |
| Opus 5.5 | $0.00056 | $0.00685 |
| Sonnet 5.5 | $0.00028 | $0.00343 |
| Haiku 4.5 | $0.00014 | $0.00171 |
Grade A, and why
github-profile 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Profile Optimizer
This skill audits a GitHub profile and generates an optimized profile README along with recommendations for metadata, pinned repositories, and stats widgets. A strong GitHub profile is a developer's storefront — it shapes perception before anyone reads a line of code.
Code recipes live in AGENTS.md — read it when you need to implement a specific fix. This file has the workflow and audit checklist.
Workflow
- Gather profile context — Understand who this person/org is and what they want to showcase
- Audit the current profile — Score every element of the profile's public presence
- Generate the profile README — Write a polished, scannable README.md
- Recommend metadata and configuration — Advise on bio, pinned repos, settings, and widgets
- Verify — Confirm rendering, badge URLs, and summarize next steps
Phase 0: Gather Context
Determine profile type
Ask the user (if not obvious): is this a personal profile or an organization profile? The mechanics differ significantly:
| Feature | Personal profile | Organization profile |
|---|---|---|
| README location | username/username/README.md |
.github/profile/README.md |
| Visibility options | Public only | Public + member-only (via .github-private repo) |
| Pinned repos | Up to 6 | Up to 6 public + 6 member-only |
| Contribution graph | Yes | No |
| Achievements | Yes | No |
Collect information
Gather before writing: username, current role/company, primary technologies, what they want to showcase, tone (professional/casual/creative/minimal), and target audience (recruiters/collaborators/investors/OSS community).
If gh is available (gh auth status), pull automatically:
gh api user— name, bio, company, location, blog, twittergh api users/{username}/repos?sort=stars&per_page=10— top repos for pin recommendationsgh repo view {username}/{username} --json name 2>/dev/null— check if magic repo exists
What ships with it
3 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.
- 1mo ago First seen · 147 lines · 141 tokens per session scan A 5f9f259be6c2
github-profile is a skill published in the GitHub repository jdevalk/skills (108 stars, last pushed 3mo ago), licensed MIT. It adds 141 tokens to every session and 1,713 once invoked, about $0.0006 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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