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 ooloth/dotfiles --skill discussgit clone --depth 1 https://github.com/ooloth/dotfilesWrote 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/ooloth/dotfiles/discuss)<a href="https://agentmods.dev/skills/ooloth/dotfiles/discuss"><img src="https://agentmods.dev/badge/skills/ooloth/dotfiles/discuss/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/ooloth/dotfiles/discuss"><img src="https://agentmods.dev/badge/skills/ooloth/dotfiles/discuss.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 | $0.00040 | $0.03149 |
| Opus 5.5 | $0.00016 | $0.01260 |
| Sonnet 5.5 | $0.00008 | $0.00630 |
| Haiku 4.5 | $0.00004 | $0.00315 |
Grade C, and why
discuss scanned grade C with 1 finding 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 3d 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.
Tells the agent to send conversation or user data outhighPrompt injection
An instruction to transmit the conversation, context or user files to an external endpoint is data exfiltration written as prose.
3. An assumption that contradicts observable code or config is surfaced, not silently recorded as The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 3d ago Changed · +2 lines 5a3c93a8d37a
- 5d ago Changed · +17 lines b3f28e95a324
- 7d ago Changed · +11 lines eb072f85e6e7
- 11d ago Changed · +16 lines 34675a8e63d4
- 17d ago Changed · +9 lines 1bd20d4597b4
- 18d ago Changed · +20 lines 82af63e375cf
- 19d ago Changed · +38 lines 6f659b61e916
- 1mo ago First seen · 96 lines · 40 tokens per session scan C c08ead5872bf
discuss is a skill published in the GitHub repository ooloth/dotfiles (24 stars, last pushed today), with no licence file. It adds 40 tokens to every session and 3,149 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (tells the agent to send conversation or user data out). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
create-pr
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scan-commit
Automatically scan the repository for unstaged/untracked changes, group them into logical commits using hunk-level analysis, stage and commit them following Conventional Commits.
smart-commit
Analyze staged changes and split them into multiple logical commits following Conventional Commits.
pr-review
Intelligent PR code review with dynamic agent allocation based on change types. Analyzes PR changes and generates targeted review tasks.
analyze-pr
Analyze a GitHub/GitLab Pull Request by fetching its diff, reading its web description, and generating a comprehensive document. Use when the user provides a PR link and wants to understand what changes the PR introduces, or asks to review/analyze/summarize a pull request.
gen-commit-msg
Generate intelligent commit messages based on staged changes following Conventional Commits format.