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 kdr/overcast --skill overcast-crime-boardgit clone --depth 1 https://github.com/kdr/overcastWrote 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/kdr/overcast/overcast-crime-board)<a href="https://agentmods.dev/skills/kdr/overcast/overcast-crime-board"><img src="https://agentmods.dev/badge/skills/kdr/overcast/overcast-crime-board/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/kdr/overcast/overcast-crime-board"><img src="https://agentmods.dev/badge/skills/kdr/overcast/overcast-crime-board.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.01009 |
| Opus 5 | $0.00023 | $0.00504 |
| Sonnet 5 | $0.00009 | $0.00202 |
| Haiku 4.5 | $0.00005 | $0.00101 |
Grade A, and why
overcast-crime-board scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
overcast-crime-board
Use this skill when the case has accumulated media and you want the "red-string
corkboard": the people, objects, and connections laid out visually. It composes
existing evidence into two shareable surfaces. Use the broad overcast skill and
overcast/reference/verbs.md for exact flags.
Workflow
- Materialize the evidence cards — faces and objects as durable crops (run
face --thumbnailsfirst socrophas frame images to cut from). Object cards need a bound open-vocabulary detector (OWLv2):cropcuts from detection boxes, so bind a detector as theseeprovider before--detect, then crop the--detectrecord (a caption/OCRseerecord has no boxes to crop):
overcast doctor --json
overcast face ./clip.mp4 --thumbnails --json
overcast crop <face-record-id> --all --class face --square --pad 0.1 --json
scripts/visual-db-uv.sh --detect # once: uv-installs torch+transformers+scipy, prints DETECT_PY
export DETECT_PY="$DETECT_PY"; overcast provider setup apply --preset owl-local --yes --json # owl-local persists a portable shipped: ref for detect.py + uses $DETECT_PY (the venv python; system python3 lacks the deps)
overcast see ./clip.mp4 --detect "car, bag, weapon, phone" --json
overcast crop <detect-record-id> --all --kind object --json # crop the --detect record (it has boxes)
- Draw the strings — link the same person across clips with the local face DB, and connect visual themes with CLIP semantic search:
overcast index create people --type face-cluster --local --json
overcast cluster add ./clip.mp4 --index <cluster-index-id> --json
overcast cluster identify ./person-of-interest.jpg --index <cluster-index-id> --json
overcast index create scenes --type basic-clip --local --json
overcast similar add ./clip.mp4 --index <clip-index-id> --json
overcast similar search "red backpack on a bicycle" --index <clip-index-id> --json
- Record the connections as notes so they land on the board:
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.
- 10d ago First seen · 87 lines · 47 tokens per session scan A 487730be5956
overcast-crime-board is a skill published in the GitHub repository kdr/overcast (16 stars, last pushed 7d ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,009 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 2026-08-30.
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