ClawHub

Video Rough Cut

v1.0.0

Use this skill for fast rough-cut cleanup of a single talking-head or voiceover video using the local B-Roll Studio rough-cut pipeline. It uploads one raw vi...

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by@tiepige8
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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high confidence
✓
Purpose & Capability
Name/description, SKILL.md, api.md, pipeline.md, and the Python client all describe the same local rough-cut use case: submit a single talking-head video to a local B-Roll Studio API, poll for completion, and download the output. The required capabilities (reading one local video and talking to a local API) match the stated purpose.
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Instruction Scope
SKILL.md instructs the agent to run bundled resources at paths like scripts/run_rough_cut.py and references/references/api.md, but the manifest contains run_rough_cut.py, api.md, and pipeline.md at the repository root (no 'scripts' or 'references' directories). That mismatch will likely cause runtime failures or confusion. Otherwise the instructions are scoped to the stated task and do not request unrelated files, environment variables, or external endpoints.
✓
Install Mechanism
There is no install spec — this is instruction-plus-client-script only. No packages are pulled from remote hosts and no archives are extracted. The client uses Python stdlib (urllib), so no additional install privileges are required.
✓
Credentials
The skill requests no environment variables, no credentials, and no config paths. The script's network activity is limited to a configurable base_url (defaulting to http://localhost/api/v1), which is consistent with the described local API integration.
✓
Persistence & Privilege
The skill is not 'always: true', does not claim to modify other skills or system settings, and contains no persistent install steps. It runs a one-off client that reads a local video and communicates with the local API.
Assessment
This skill appears to do what it says: it posts a local video to a local B-Roll Studio API, polls the job, and downloads the result. Before installing/using it: (1) fix the path mismatches in SKILL.md (it refers to scripts/run_rough_cut.py and references/*.md but the files are at the root) so the agent can find the bundled script and docs; (2) only run this if you trust the local B-Roll Studio service — the client will upload any file you point it at to the configured base_url (the default is localhost, but base_url can be overridden); (3) confirm you are comfortable the agent can read the input video file (it requires local file access); and (4) if you plan to run this in automated/autonomous mode, ensure it cannot be redirected to a remote base_url you don't control. No credentials are requested by the skill.

Like a lobster shell, security has layers — review code before you run it.

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

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