SKILLEMALL.ai

AC pinme-share

Upload any local file or directory to PinMe (pinme.eth.limo) and instantly get a short shareable URL (*.pinit.eth.limo). Supports all file types: HTML pages, PDFs, images, audio, video, documents, or entire directories. PinMe uses public IPFS — uploaded content is publicly accessible; do NOT upload internal / private / credential data. AppKey persists to ~/.local/share/pinme-share/appkey.json (XDG-compliant), overridable via PINME_APPKEY env or --set-appkey CLI. Use when the user says "upload this file", "share this HTML", "host this page", "give me a public link", "deploy to pinme", "upload to IPFS", "get a shareable link", "show my upload history", or hands over any file / directory and wants a URL to share.

ClawHub Agent Skills author: Evan Song v1.0.1 MIT-0 4 files body ≈ 1 797 tokens Open the sourceclawhub.ai analyzed 2 d ago

Upload any local file or directory to PinMe (pinme.eth.limo) and instantly get a short shareable URL (.pinit.eth.limo). Supports all file types: HTML pages…

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

ProcedureGitHubInfrastructureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
95
Quality 40%
90
Run on models
none yet
Process rating
C
59/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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.

Concealment 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 skill tells the agent to hide things from you: not to show errors, not to mention actions, to report differently from what was done. You lose the ability to see what the agent really did.

For the author

Transparency beats a smooth answer. If the goal is to hide technical noise, ask the agent to "summarise briefly", not to "not mention".

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
    • medium Concealment en-hide-from-user scripts/upload_to_pinme.py:615
      Instruction to hide actions from the user (code comment)
      # Without this, `path` + `--list` (etc.) would silently run only the first
      comment

    Files scanned: 4. 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
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 9 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 25 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1797 tokens
    • low 14 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -215 emoji in the instructions: noise for the model
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +3Description length 719: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (11 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    The skill is a real PinMe/IPFS sharing tool, but it needs review because it can publish local files permanently and auto-install an unpinned npm CLI at runtime.
    LLM: suspicious (high) · VirusTotal: · 13 Jul 2026