Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-pluginsnpx agentmods add skills/ivanlutsenko/awac-ai-agent-plugins/find-momentsWrote 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/ivanlutsenko/awac-ai-agent-plugins/find-moments)<a href="https://agentmods.dev/skills/ivanlutsenko/awac-ai-agent-plugins/find-moments"><img src="https://agentmods.dev/badge/skills/ivanlutsenko/awac-ai-agent-plugins/find-moments/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/ivanlutsenko/awac-ai-agent-plugins/find-moments"><img src="https://agentmods.dev/badge/skills/ivanlutsenko/awac-ai-agent-plugins/find-moments.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 | $0.00027 | $0.00387 |
| Opus 5 | $0.00014 | $0.00193 |
| Sonnet 5 | $0.00005 | $0.00077 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
clip-maker-find-moments 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 9d 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
Converted from Claude Code command
/find-moments. Review and adapt: hooks and MCP tool IDs may need manual mapping for Codex.
Find Interesting Moments
Analyze a transcript (or video) to find the most engaging moments for vertical clips.
Arguments
Parse $ARGUMENTS for:
<path>— required, path to either:transcript.json— pre-existing transcript- video file (
.mp4,.mov,.avi, etc.) — will transcribe first
--duration N— target moment duration in seconds (default: 60)
Steps
1. Determine input type
Check the file extension:
- If
.json→ use as transcript directly - If video file → transcribe first using:
bash plugins/clip-maker/scripts/install-deps.sh bash plugins/clip-maker/scripts/transcribe.sh "<video_path>" "<output_dir>"
2. Find moments
Launch the moment-finder agent:
Agent(subagent_type="clip-maker:moment-finder", model="opus", prompt="
Analyze the transcript and find the most engaging moments.
- Transcript path: <transcript_path>
- Target duration: <duration> seconds
- Output path: <output_dir>/moments.json
Read the transcript, find the best moments, and write moments.json.
")
3. Display results
Read moments.json and present moments to the user as a formatted list:
- Number, title, time range (MM:SS - MM:SS), score
- The key quote from each moment
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.
- 9d ago First seen · 55 lines · 27 tokens per session scan A 3bcbd2f6b809
clip-maker-find-moments is a skill published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (3 stars, last pushed 6d ago), licensed MIT. It adds 27 tokens to every session and 387 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 2026-08-31.
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