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 instructions/crisng95/flowkit/gemini-mdgit clone --depth 1 https://github.com/crisng95/flowkitWhat 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 | $0.02022 | $0.02022 |
| Opus 5 | $0.01011 | $0.01011 |
| Sonnet 5 | $0.00404 | $0.00404 |
| Haiku 4.5 | $0.00202 | $0.00202 |
Grade A, and why
flowkit GEMINI.md 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 2d 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.
curl -s http://127.0.0.1:8100/health This is a copy
98% identical to flowkit AGENTS.md — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Flow Agent — Gemini CLI Instructions
Base URL: http://127.0.0.1:8100
Pre-flight
Before ANY workflow:
curl -s http://127.0.0.1:8100/health
# Must return: {"extension_connected": true}
Critical Rules (MUST follow)
- Media ID is always UUID — format
xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx. Never useCAMS.../ base64 strings. - Scene prompts = ACTION only — never describe character appearance. Reference images handle visual consistency via
imageInputs. - All reference images must exist before scene images — verify every entity has
media_idbefore generating scene images. - No throwaway scripts — NEVER write Python, shell, or any script file to loop over API requests. Use
POST /api/requests/batchto submit all requests at once, then pollGET /api/requests/batch-status. The server throttles automatically. - Locations use landscape, characters use portrait — reference image orientation depends on entity type.
- UUID extraction — if a response gives
CAMS...instead of UUID, extract UUID from thefifeUrlin the response URL:/image/{UUID}?.... - Cascade on regen — regenerating an image auto-clears downstream video + upscale.
- REGENERATE vs GENERATE —
GENERATE_*skips if already COMPLETED.REGENERATE_*always runs (clears + regenerates). - Image Material required — every project needs a
materialfield (e.g.realistic,3d_pixar,anime). List available:GET /api/materials. - Server handles throttling — worker enforces max 5 concurrent requests + 10s cooldown. Submit ALL requests via
/batch; do NOT manually stagger or loop. - Video prompts use sub-clip timing — structure 8s video as time segments:
0-3s: [action]. 3-6s: [action]. 6-8s: [action]. - Character dialogue in sub-clips — embed speech in quotes:
Luna says "Goodnight."Max 10-15 words per character per 2-3s segment. - Scenes are mutable — use
PATCH /api/scenes/{sid}to updateprompt,video_prompt,narrator_text,character_namesafter creation. Don't delete and recreate — patch instead. - Fact-check before scripting — ALWAYS research events via web search before writing project stories, scene prompts, or narrator text. Facts (events, dates, names, operations, outcomes) MUST match real sources. Editorial opinion and analysis are allowed but must be framed as such. Never invent events, operation names, or statistics.
- Real-people bypass — when characters are based on real famous people (politicians, celebrities, military leaders), NEVER use their real name as entity
nameor anywhere indescription,image_prompt,prompt, orvideo_prompt. AI image generators reject known public figures. Instead: (a) use a role-based alias as entity name (e.g. "Tổng Tư Lệnh" not "Trump", "Thủ Tướng Sắt" not "Netanyahu"), (b) describe physical appearance only — distinctive hair, face shape, build, clothing style — without naming who it is, (c)narrator_textmay use real titles/roles for storytelling but real names never flow into image/video generation. Keep areal_referencemapping in the project plan file (.omc/research/) for internal tracking. - Review before upscale — ALWAYS run
/fk-review-video(light mode) after video generation, before upscaling. Scenes scoring < 7.5 getvideo_promptupdated from review errors, then regen video. Max 2 review-regen cycles.
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.
- 2d ago First seen · 106 lines · 2,022 tokens per session scan A ee628330b359
flowkit GEMINI.md is an instructions file published in the GitHub repository crisng95/flowkit (613 stars, last pushed 14d ago), licensed MIT. It adds 2,022 tokens to every session, about $0.0101 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 98% identical to flowkit AGENTS.md, differing in 2 lines, and is treated as a copy.
Other instructions, from other repositories
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