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 agentmods add skills/dinglebear-ai/yarr/overseerrnpx skills add dinglebear-ai/yarr --skill overseerrgit clone --depth 1 https://github.com/dinglebear-ai/yarrWrote 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/yarr/overseerr)<a href="https://agentmods.dev/skills/dinglebear-ai/yarr/overseerr"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/yarr/overseerr.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 | $0.00000 | $0.01741 |
| Opus 5 | $0.00000 | $0.00870 |
| Sonnet 5 | $0.00000 | $0.00348 |
| Haiku 4.5 | $0.00000 | $0.00174 |
Grade A, and why
overseerr scanned grade A 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 4d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- `references/quick-reference.md` — curl examples for all common operations 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
17 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.
- agents/openai.yaml 210 B
- CHANGELOG.md 223 B
- README.md 6.2 KB
- references/api-endpoints.md 72 KB
- references/overseerr-api.yml 174 KB
- references/quick-reference.md 5.6 KB
- references/troubleshooting.md 4.4 KB
- scripts/approve-request.mjs 344 B runs code
- scripts/decline-request.mjs 344 B runs code
- scripts/delete-request.mjs 337 B runs code
- scripts/lib.mjs 5.3 KB runs code
- scripts/monitor.mjs 1.8 KB runs code
- scripts/request-by-id.mjs 383 B runs code
- scripts/request.mjs 3.1 KB runs code
- scripts/requests-enriched.mjs 2.5 KB runs code
- scripts/requests.mjs 846 B runs code
- scripts/search.mjs 894 B runs code
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.
- 4d ago First seen · 201 lines · 0 tokens per session scan A 44fa9f46fe6c
overseerr is a skill published in the GitHub repository dinglebear-ai/yarr (7 stars, last pushed 10d ago), licensed AGPL-3.0. It costs nothing until one of its globs matches a file; then it loads 1,741 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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