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 manishiitg/coding-agent-loop --skill video-provider-capabilitiesgit clone --depth 1 https://github.com/manishiitg/coding-agent-loopWrote 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/manishiitg/coding-agent-loop/video-provider-capabilities)<a href="https://agentmods.dev/skills/manishiitg/coding-agent-loop/video-provider-capabilities"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/video-provider-capabilities/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/manishiitg/coding-agent-loop/video-provider-capabilities"><img src="https://agentmods.dev/badge/skills/manishiitg/coding-agent-loop/video-provider-capabilities.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 | $0.00094 | $0.01712 |
| Opus 5.5 | $0.00038 | $0.00685 |
| Sonnet 5.5 | $0.00019 | $0.00342 |
| Haiku 4.5 | $0.00009 | $0.00171 |
Grade A, and why
video-provider-capabilities 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 1mo 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Resolve provider capabilities before generation
Do not create a paid video request from a generic template or model-family memory. Before the first video call for a production, read the selected endpoint's current official API reference. For fal-hosted models use that exact endpoint's fal API page; for direct Google models use the current Google Gemini/Veo documentation. A model list discovers candidates; the endpoint schema controls the request. Models and higher-level workflows are different contracts. Do not infer one from the other.
Read these bundled references when their phase begins:
references/capability-record.mdbefore resolving or refreshing a model.references/continuity-planning.mdbefore writing the shot list or request.references/execution-review.mdbefore spending, retrying, assembling, or presenting outputs.video-model-selection/references/cost-guidance.mdwhen comparing models or giving a user a costed choice.
Required artifacts
Write the following under the production folder in direct chat, or inside the current workflow-stage folder:
capabilities/<provider>-<model-slug>.json: the live endpoint contract.continuity-plan.json: scene boundaries, reference lineage, seams, and the reason for every independent generation.generation-ledger.json: cost estimate, exact submitted request, provider adjustments, job state, output, validation, presentation, and review.
These are required inputs and evidence for every paid video request. The capability record begins with:
{
"schema_version": 2,
"provider": "fal-ai or google-ai",
"model_id": "exact resolved model id",
"execution_mode": "queue or realtime",
"checked_at": "RFC3339 timestamp",
"official_docs": ["official API URL"],
"input_contract": {
"required": [],
"optional": [],
"media_roles": {"start_frame": {"min": 0, "max": 0}, "end_frame": {"min": 0, "max": 0}, "image_references": {"min": 0, "max": 0}, "video_references": {"min": 0, "max": 0}, "audio_references": {"min": 0, "max": 0}},
"duration_seconds": {"min": 0, "max": 0},
"multi_shot": {"supported": false, "field": "", "shape": {}},
"extension": {"supported": false, "input_role": ""},
"seed": {"supported": false, "field": ""},
"native_audio": {"supported": false, "field": "", "values": []},
"aspect_ratios": [],
"resolutions": [],
"mutually_exclusive": [],
"output_contract": {}
},
"request_shape": {"exact field names": "copied from the official schema"},
"pricing": {"source": "", "checked_at": "", "currency": "", "unit": "", "unit_price": null, "base_estimate": null, "retry_reserve": null, "maximum_approved_cost": null, "estimate_available": false},
"continuity_fit": {"strategy": "...", "why": "..."}
}
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.
- 1mo ago Changed · +1 lines 9ffc1066f4a5
- 1mo ago Changed · +9 lines 677f141d7617
- 2mo ago First seen · 136 lines · 94 tokens per session scan A 2bef266ef97f
video-provider-capabilities is a skill published in the GitHub repository manishiitg/coding-agent-loop (13 stars, last pushed 1mo ago), licensed MIT. It adds 94 tokens to every session and 1,712 once invoked, about $0.0004 per session on Opus 5.5. 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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