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.
git clone --depth 1 https://github.com/cgallic/kai-cmo-harnessWrote 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/commands/cgallic/kai-cmo-harness/kai-video-produce)<a href="https://agentmods.dev/commands/cgallic/kai-cmo-harness/kai-video-produce"><img src="https://agentmods.dev/badge/commands/cgallic/kai-cmo-harness/kai-video-produce/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/commands/cgallic/kai-cmo-harness/kai-video-produce"><img src="https://agentmods.dev/badge/commands/cgallic/kai-cmo-harness/kai-video-produce.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 | $0.00023 | $0.05053 |
| Opus 5 | $0.00012 | $0.02527 |
| Sonnet 5 | $0.00005 | $0.01011 |
| Haiku 4.5 | $0.00002 | $0.00505 |
Grade A, and why
kai-video-produce 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 12d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 12d ago First seen · 814 lines · 23 tokens per session scan A a13ee35fdd76
kai-video-produce is a command published in the GitHub repository cgallic/kai-cmo-harness (47 stars, last pushed 4d ago), with no licence file. It adds 23 tokens to every session and 5,053 once invoked, about $0.0001 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.
Other commands, from other repositories
engagement
Run a marketing engagement using the 12-Part methodology. Subcommands: start, next, status, validate, re-run-decision, update-back, lif-show, file-tree, list-engagements, four-core, growth-plan, yearly-planner, loop.
check
Run the unified pre-publish quality gate on marketing content (hallucination + brand voice + structure + claims). Use before publishing any marketing copy.
status
Unified status snapshot of the active brand: profile, engagements, recent insights, recent compliance violations, Python dependency mode.
cowork-setup
Wire DMP for Anthropic Cowork team usage: verifies Cowork sandbox, checks for a Drive MCP, creates the canonical Drive folder layout, and persists the team's routing config. Run once per team.
campaign-plan
Generate a full multi-channel campaign plan with objectives, audience, channel mix, budget, timeline, and KPIs.
competitor-analysis
Multi-dimensional competitive analysis — content, SEO, paid ads, social, AI visibility, pricing, and positioning.