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BF hitpaw-image-enhancer

Enhance images and videos using HitPaw's AI enhancement API

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 11 files body ≈ 4 355 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Enhance images and videos using HitPaw's AI enhancement API

As a process F 42/100 · Will not run — References files that are not bundled: images/image-before.jpg, images/image-after.jpg, images/face-before.jpg

IntegrationMedia and videotype 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
79/100
safety, quality, tests
Safety 60%
94
Quality 40%
56
Run on models
none yet
Process rating
F
42/100
Will not run
References files that are not bundled: images/image-before.jpg, images/image-after.jpg, images/face-before.jpg
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token package-lock.json:74
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…9dM/mwVgvbZJaSNaRk+bshk…Kbz+IoId…W0Q==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:143
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…SDq+2kAA…MOe/+5cdoEdg==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:193
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…FrF+LTRo…W3g==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:202
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…A6j+hAmM…GbS+kf5c…csw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:211
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…5bm+c2gQ…aG5+esrLODihIorn+Pe6F…dXA==",
    detector
  • low Secrets in code secret-high-entropy-token README.md:4
    High-entropy token-like string (may be an id, hash or a credential)
    [![GitHub](https://img.shields.io/badge/GitHub-HitPaw--Official%2Fop…717?logo=…)](https://github.com/HitPaw-Official/openclaw-skill-hitpaw-enhancer)

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: images/image-before.jpg
  • warning missing-ref reference to a missing file: images/image-after.jpg
  • warning missing-ref reference to a missing file: images/face-before.jpg
  • warning missing-ref reference to a missing file: images/face-after.jpg
  • warning missing-ref reference to a missing file: images/gen-before.jpg
  • warning missing-ref reference to a missing file: images/gen-after.jpg
  • warning missing-ref reference to a missing file: images/video-original.jpg
  • warning missing-ref reference to a missing file: images/video-enhanced.jpg
  • warning missing-ref reference to a missing file: images/portrait-video-before.jpg
  • warning missing-ref reference to a missing file: images/portrait-video-after.jpg
  • note frontmatter-key unknown frontmatter key "type"
  • note frontmatter-key unknown frontmatter key "entry"
  • note frontmatter-key unknown frontmatter key "repository"
  • note frontmatter-key unknown frontmatter key "keywords"
  • note frontmatter-key unknown frontmatter key "capabilities"
  • note frontmatter-key unknown frontmatter key "requirements"
  • note frontmatter-key unknown frontmatter key "environment"
  • note edit-residue the text marks something as outdated (lines 100): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 42/100

Will not run. References files that are not bundled: images/image-before.jpg, images/image-after.jpg, images/face-before.jpg
  • 0Tools and files. 10 referenced file(s) missing: images/image-before.jpg, images/image-after.jpg, images/face-before.jpg
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 4355 tokens
  • 85Steps. 46 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • low 15 top-level sections: this looks like several domains in one skill

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)
  • +3Description length 59: 120–800 characters recommended
  • -218 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +4Structure: 46 headings
  • +3Step-by-step instructions: 46 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.