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 review-prgit 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/review-pr)<a href="https://agentmods.dev/skills/dinglebear-ai/dendrite/review-pr"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/review-pr.svg" alt="Measured on agentmods" 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 | $0.00077 | $0.01674 |
| Opus 5 | $0.00039 | $0.00837 |
| Sonnet 5 | $0.00015 | $0.00335 |
| Haiku 4.5 | $0.00008 | $0.00167 |
Grade A, and why
review-pr 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 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.
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
1 file 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.
- 3d ago First seen · 151 lines · 77 tokens per session scan A 133be39533d8
review-pr is a skill published in the GitHub repository dinglebear-ai/dendrite (1 stars, last pushed 10d ago), licensed AGPL-3.0. It adds 77 tokens to every session and 1,674 once invoked, about $0.0004 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
resolve-pr-comments
This skill should be used when user asks to "address PR comments", "resolve PR feedback", "handle review comments", "fix PR issues", "respond to PR review", or explicitly invokes "resolve-pr-comments".
review-pr
This skill should be used when user asks to "review a PR", "review pull request", "review this pr", "code review this PR", "check PR.
ccmanager-config
Set up, review, or repair a CCManager config — .ccmanager.json at a git repository root, or the global /.config/ccmanager/config.json. Use when someone wants ccmanager to launch a different agent CLI (codex, gemini, cursor-agent, copilot…), add command presets, run a command on session state changes or worktree…
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.
gitlab-create-mr
Create GitLab merge requests from a local branch using a reviewable workflow for branch checks, GitLab host detection, diff analysis, title and description writing, and glab mr create. Use when opening a GitLab merge request, drafting or improving merge request copy, preparing a branch for review, or working across…