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AC find-moments

Find specific moments in a video using a natural language query. Ideal for locating particular scenes, topics, or events in long videos (e.g., “the part where they talk about taxes”). Use this when the user has a clear search intent; not recommended for broader requests like "highlights" or "best moments." Export clips with customizable aspect ratios, caption styles, and AI reframing. Supports both online URLs and local files.

ClawHub Agent Skills author: WayinVideo v1.0.4 MIT-0 9 files body ≈ 2 125 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

ProcedureMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
99
Quality 40%
88
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
30
Consistency w 8
40
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Exfiltration net-credential-use SKILL.md:93
      Credential used in a network call (verify the destination is the intended service) (quoted — discussed, not commanded)
      > - If it has been more than 24 hours but less than 3 days, refresh the `export_link` by running: `curl -s -H "Authorization: Bearer $WAYIN_API_KEY" -H "x-wayinvideo-api-version: v2" "https://wayinvid
      quoted

    Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 60/100

    • 0Result and completion. Does not say what the result is
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (find-moments) differs from the folder (find-moments-in-the-video)
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 14 steps, 1 vague phrases
    • 100Failures and branches. 14 branches, has a failure section
    • 100Execution cost. Instruction body is 2125 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low The response is described with custom markup (15 tags): a typed call is more reliable

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 430: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 14 items
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    This skill appears to do what it claims, but it can send local videos, URLs, and search queries to an external service and stores task details locally without enough user-facing controls.
    LLM: suspicious (medium) · VirusTotal: · 29 May 2026