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 scrutinygit 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/scrutiny)<a href="https://agentmods.dev/skills/dinglebear-ai/dendrite/scrutiny"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/scrutiny/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/scrutiny"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/scrutiny.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 | $0.00074 | $0.00577 |
| Opus 5.5 | $0.00030 | $0.00231 |
| Sonnet 5.5 | $0.00015 | $0.00115 |
| Haiku 4.5 | $0.00007 | $0.00058 |
Grade C, and why
scrutiny scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
| List monitored devices | `curl -sS "$SCRUTINY_URL/api/summary" \| python3 -c 'import sys,json;print(*json.load(sys.stdin)["data"]["summary"].keys(),sep="\n")'` | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| Health | `curl -sS "$SCRUTINY_URL/api/health" -w '\nHTTP %{http_code}\n'` | 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
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.
- 2mo ago First seen · 53 lines · 74 tokens per session scan C ff57884d81cd
scrutiny is a skill published in the GitHub repository dinglebear-ai/dendrite (1 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 74 tokens to every session and 577 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
scrutiny compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| scrutinydinglebear-ai/dendrite | Skill | 1 | 1mo ago | AGPL-3.0 | C | 74 | Claude Code, Codex |
| lov-migrate-camera-medialovstudio/skills | Skill | 72 | 4d ago | MIT | A | 86 | Claude Code |
| it-infrastructure-equipment-selectionwanghao-io/it-infrastructure-equipment-selection-skill | Skill | 4 | 2mo ago | MIT | A | 111 | Codex |
| ros-roboticswzyn20051216/ros-robotics-skill | Skill | 66 | 8mo ago | MIT | A | 84 | Codex |
| arm-cortex-expertrootcastleco/rei-skills | Skill | 8 | 3d ago | none | A | 72 | Claude Code, Codex |
| openhuegeezerrrr/motive | Skill | 120 | 1mo ago | MIT | A | 15 | Claude Code, Codex |
| camsnapgeezerrrr/motive | Skill | 120 | 1mo ago | MIT | A | 16 | Claude Code, Codex |