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BD muapi-media-editing

Edit and enhance images and videos with AI via muapi.ai — prompt-based editing, upscaling, background removal, face swap, lipsync, video effects, and more

ClawHub Agent Skills author: Anil Chandra Naidu Matcha v1.0.0 MIT-0 6 files · 4 scripts body ≈ 385 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 42/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

GeneratorMedia and videoWriting and documentsInfrastructuretype 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
76/100
safety, quality, tests
Safety 60%
82
Quality 40%
67
Run on models
none yet
Process rating
D
42/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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
  • medium Exfiltration net-credential-use enhance-image.sh:90
    Credential used in a network call (verify the destination is the intended service)
    local RESP=$(curl -s -X POST "${MUAPI_BASE}/upload_file" -H "x-api-key: $MUAPI_KEY" -F "file=@${FPATH}")
  • medium Exfiltration net-credential-use lipsync.sh:73
    Credential used in a network call (verify the destination is the intended service)
    local RESP=$(curl -s -X POST "${MUAPI_BASE}/upload_file" -H "x-api-key: $MUAPI_KEY" -F "file=@${FPATH}")
  • medium Exfiltration net-credential-use video-effects.sh:97
    Credential used in a network call (verify the destination is the intended service)
    local RESP=$(curl -s -X POST "${MUAPI_BASE}/upload_file" -H "x-api-key: $MUAPI_KEY" -F "file=@${FPATH}")
  • low Exfiltration read-dotenv enhance-image.sh:38
    Reads a .env file
    if [ -f ".env" ]; then source .env 2>/dev/null || true; fi
  • low Exfiltration read-dotenv lipsync.sh:35
    Reads a .env file
    if [ -f ".env" ]; then source .env 2>/dev/null || true; fi
  • low Exfiltration read-dotenv video-effects.sh:41
    Reads a .env file
    if [ -f ".env" ]; then source .env 2>/dev/null || true; fi

Files scanned: 6. 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")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "acceptLicenseTerms"

Process rating: all ten parameters 42/100

  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (muapi-media-editing) differs from the folder (muapi-edit)
  • 50Steps. 2 steps
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Execution cost. Instruction body is 385 tokens
  • 100Running it twice. No mutating operations

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 154: enough signal without eating the budget
  • +4Structure: 5 headings
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill appears to be a straightforward muapi.ai media-editing wrapper, with expected but sensitive uploads and API-key handling users should understand.
LLM: benign (high) · VirusTotal: · 29 May 2026