SKILLEMALL.ai
GitHub ↗ RU Sign in

BF revid-news-to-daily-short

Generate a daily news short on a topic Revid researches itself. Use for a recurring "news of the day in <niche>" channel — the user only supplies the topic; Revid fetches fresh news, writes the script, and produces the video.

ClawHub Agent Skills author: api00 v1.1.0 MIT-0 4 files · 1 script body ≈ 1 031 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 45/100 · Will not run — References files that are not bundled: ../revid-article-to-short/SKILL.md, ../revid-prompt-to-video/SKILL.md

GeneratorMedia 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
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
75
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: ../revid-article-to-short/SKILL.md, ../revid-prompt-to-video/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 examples/run.sh:17
    Credential used in a network call (verify the destination is the intended service) (test fixture / example file; the skill's own vendor host)
    R=$(curl -fsSL "https://www.revid.ai/api/public/v3/status?pid=$PID" -H "key: $REVID_API_KEY")
    fixturevendor-host

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../revid-article-to-short/SKILL.md
  • warning missing-ref reference to a missing file: ../revid-prompt-to-video/SKILL.md

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: ../revid-article-to-short/SKILL.md, ../revid-prompt-to-video/SKILL.md
  • 0Tools and files. 2 referenced file(s) missing: ../revid-article-to-short/SKILL.md, ../revid-prompt-to-video/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1031 tokens

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 225: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed Revid automation guide for generating daily news videos, with optional scheduling and publishing steps users should control carefully.
LLM: benign (high) · VirusTotal: · 29 May 2026