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 6174/recut --skill director-agentgit clone --depth 1 https://github.com/6174/recutWrote 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/6174/recut/director-agent)<a href="https://agentmods.dev/skills/6174/recut/director-agent"><img src="https://agentmods.dev/badge/skills/6174/recut/director-agent/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/6174/recut/director-agent"><img src="https://agentmods.dev/badge/skills/6174/recut/director-agent.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 | $0.00000 | $0.05114 |
| Opus 5 | $0.00000 | $0.02557 |
| Sonnet 5 | $0.00000 | $0.01023 |
| Haiku 4.5 | $0.00000 | $0.00511 |
Grade A, and why
director-agent 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
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
12 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.
- agents/openai.yaml 309 B
- references/anti-laziness-contract.md 5.6 KB
- references/director-thinking-spine.md 2.8 KB
- references/director-workbench-protocol.md 9.3 KB
- references/github-project-watchlist.md 5.6 KB
- references/local-knowledge-map.md 4.2 KB
- references/research-update-protocol.md 3.9 KB
- references/screenplay-cold-read-protocol.md 13 KB
- references/screenplay-exemplar-benchmarks.md 7.4 KB
- references/screenplay-state-engine.md 14 KB
- references/screenplay-writing-core.md 9.7 KB
- references/verified-director-logic.md 10 KB
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 · 401 lines · 0 tokens per session scan A 696d97ea2093
director-agent is a skill published in the GitHub repository 6174/recut (33 stars, last pushed 2d ago), licensed GPL-3.0. It costs nothing until one of its globs matches a file; then it loads 5,114 tokens. 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 skills, from other repositories
video-recap
An end-to-end workflow for turning a video into a Chinese narrated recap. It coordinates video analysis, story planning, editing, voice generation, and final audio and subtitle assembly.
video-script
A Chinese-language video editing and narration workflow that plans the story, selects clips, assigns visuals and sound, writes timestamped narration, and validates the result.
video-assemble
A video finishing tool that combines a source video with recorded narration, adjusted original sound, and subtitles. It can create subtitle files, burn them into the video, and optionally standardise loudness.
video-cut
A video-editing skill that turns selected time ranges from a long source video into a shorter video. It follows decisions recorded in a clip plan and can also map an existing narration timeline to the edited result.
video-understanding
A video analysis tool that turns a video into a structured index of scenes, spoken words, visual observations, quiet sections, and a writing brief. ASR means automatic speech recognition, which converts speech in the video into timestamped text.
video-voiceover
A text-to-speech tool that turns a timestamped narration script into separate Chinese voice clips and places them within the video's timeline. Text-to-speech means generating spoken audio from written words.