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 dinglebear-ai/dendrite --skill yeetgit clone --depth 1 https://github.com/dinglebear-ai/dendriteWrote 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/dinglebear-ai/dendrite/yeet)<a href="https://agentmods.dev/skills/dinglebear-ai/dendrite/yeet"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/yeet/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/dinglebear-ai/dendrite/yeet"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/yeet.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 | $0.00035 | $0.01582 |
| Opus 5 | $0.00017 | $0.00791 |
| Sonnet 5 | $0.00007 | $0.00316 |
| Haiku 4.5 | $0.00003 | $0.00158 |
Grade A, and why
yeet 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
4 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.
- 6d ago First seen · 133 lines · 35 tokens per session scan A 4829d4909081
yeet is a skill published in the GitHub repository dinglebear-ai/dendrite (1 stars, last pushed 13d ago), licensed AGPL-3.0. It adds 35 tokens to every session and 1,582 once invoked, about $0.0002 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 2026-09-03.
Other skills, from other repositories
create-pr
Create pull requests following Sentry conventions. Use when opening PRs, writing PR descriptions, or preparing changes for review. Follows Sentry's code review guidelines.
codex-review
Professional code review with auto CHANGELOG generation, integrated with Codex AI.
pr-review-fix-pipeline
Autonomous PR review that also applies fixes for non-controversial issues — combines review, fix, test, and commit into a single pipeline. Unlike a read-only review, this writes code. Only use on feature branches where you're comfortable with automatic edits. Trigger on: "review and fix PR", "auto-fix the PR", "clean…
everything-claude-code-conventions
Core repository standards for naming, structure, commits, and workflows.
CodeRabbit Rules from PR Reviews - Fetch Comments
Fetch and filter human review comments from recent merged PRs in a GitHub repository.
CodeRabbit Inheritance Scanner - Existing PR Check
Search for an existing fix PR on a repo before opening a new one.