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/kdr/overcast/overcast-initnpx skills add kdr/overcast --skill overcast-initgit clone --depth 1 https://github.com/kdr/overcastWhat 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 | $0.00043 | $0.01011 |
| Opus 5 | $0.00022 | $0.00505 |
| Sonnet 5 | $0.00009 | $0.00202 |
| Haiku 4.5 | $0.00004 | $0.00101 |
Grade A, and why
overcast-init 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.
What it actually says
overcast-init
One-time setup for overcast.
- Install the CLI —
pi install npm:@kdrrr/overcast(inside pi) ornpm i -g @kdrrr/overcastfor the standalone binary. - Install bundled skills for this agent — for Codex, Cursor, and other
non-Claude harnesses, copy the shipped skills into the agent's skills
directory explicitly:
Bareovercast skills install --dest ~/.codex/skillsovercast skills installremains the Claude Code default (~/.claude/skills), and--harness claude-codeis the explicit Claude target. - Install/update tinycloud — the default perception backend. Get the latest
(
npm i -g @cloudglue/[email protected]thentinycloud install --latest, ortinycloud update). overcast needs tinycloud ≥ 0.3.12 — its watch envelope inlines the verbatimwatch/listentranscripts (watch.speech.v1); theface+indexverbs need ≥ 0.3.4, and the imagesee/extractverbs behind the opt-insee:tinycloudprovider need ≥ 0.3.7. Override the invocation withOVERCAST_TINYCLOUD_CMDif it isn't onPATH. - Verify —
overcast doctor --json(pi pinned, ffmpeg/ffprobe runnable, Cloudglue key, tinycloud CLI + version, optional uv/visual-db readiness). - Cloudglue key — the default
watch/listen/face/indexproviders reach Cloudglue via the tinycloud CLI; configure it (tinycloud setup cloudglue) or exportCLOUDGLUE_API_KEY. - Provider profile setup — choose reusable providers once per profile, not
once per case. Always preview before applying:
Optional presets/choices:overcast provider setup show --profile default --json overcast provider setup plan --preset cloudglue --profile default --json overcast provider setup apply --preset cloudglue --profile default --yes --json overcast doctor --profile default --jsoncloudgluefor tinycloud watch/listen/face plus built-in ffmpeg enhance.falforsee/enhancewithFAL_KEY.hfforsee/enhancewithHF_TOKEN.elevenlabsforlisten/enhancewithELEVENLABS_API_KEY.owl-localfor OWLv2 open-vocabulary object detection.see:tinycloud(choice,--verb see --choice tinycloud) for Cloudglue file-level image analysis viatinycloud see/extract(needs tinycloud ≥ 0.3.7;--detectfacts are boxless — nocrop).deepface-localfor local face detect/match through DeepFace.
- Optional visual DB setup — prepare visual DB Python once per
checkout/machine. DeepFace can be selected as a profile provider for the
faceverb, while image/face DBs are still case-owned local indexes:scripts/visual-db-uv.sh --face overcast doctor --json overcast provider setup apply --verb face --choice deepface-local --profile default --yes --json overcast index create logos --type image-ransac --local --json overcast index create localfaces --type deepface-local --local --json - Case setup later — use the main
overcastskill per investigation to runcase setup, select targets/sources/indexes, and optionally set case-level automation such as--auto-sense,--auto-index-new, and--findings(defaults tosuggest— score/text triggers auto-suggest leads;reviewis the legacy text-only mode,offdisables).
Then use the overcast skill to drive the verbs.
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 · 72 lines · 43 tokens per session scan A eb2529c31897
overcast-init is a skill published in the GitHub repository kdr/overcast (15 stars, last pushed 7d ago), licensed Apache-2.0. It adds 43 tokens to every session and 1,011 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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