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AC easyimage-uploader

Upload local image files to an EasyImages 2.0 service and return the hosted image URL. Use when the user asks to upload an image, host a picture, put a local screenshot/photo onto an EasyImages server, or wants a sharable image link generated from a local file. This skill supports skill-local configuration via config.json, with CLI flags or environment variables as fallback.

ClawHub Agent Skills author: FM7077 v1.0.0 MIT-0 6 files body ≈ 1 010 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationInfrastructuretype 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
96/100
safety, quality, tests
Safety 60%
99
Quality 40%
91
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Inputs and preconditions w 11
30
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 Secrets in code secret-high-entropy-token scripts/upload_easyimage.py:90
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      boundary = "----…0gW"
      quoted

    Files scanned: 6. 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 59/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 4 mutating operations with no state check
    • 40Consistency. Frontmatter name (easyimage-uploader) differs from the folder (easyimage-uploader-py)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 85Steps. 41 steps, 3 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 7 branches, has a failure section
    • 100Execution cost. Instruction body is 1010 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 377: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 41 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: suspicious
    The artifact is coherent for ClawHub maintenance, but its review helper defaults to unsandboxed nested reviewer execution and can expose diffs to external reviewer tools.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026