SKILLEMALL.ai
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BC context-sync

Use this skill when the user wants to upload files to Aicoo, sync context, add knowledge to their agent, update what their agent knows, push local files to Aicoo, search or read existing notes, browse folders, or accumulate context. Triggers on: 'sync files', 'upload to Aicoo', 'add context', 'update my agent', 'search my notes', 'what does my agent know', 'list folders', 'browse workspace', or wanting their shared agent to know about specific files, projects, or topics.

ClawHub Agent Skills author: Awassi v1.0.1 MIT-0 4 files body ≈ 1 591 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 64/100 · Has gaps — weak spots: result and completion, failures and branches, running it twice

ProcedureAI and agentstype 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
77/100
safety, quality, tests
Safety 60%
75
Quality 40%
79
Run on models
none yet
Process rating
C
64/100
Has gaps
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

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Exfiltration net-credential-use SKILL.md:29
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $AICOO_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:37
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $AICOO_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:41
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $AICOO_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:45
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $AICOO_API_KEY" \
    • medium Exfiltration net-credential-use SKILL.md:116
      Credential used in a network call (verify the destination is the intended service)
      curl -s -H "Authorization: Bearer $AICOO_API_KEY" \

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

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "user-invokable"

    Process rating: all ten parameters 64/100

    • 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
    • 30Running it twice. 7 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 16 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1591 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
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 475: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (9 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

    External checks

    ClawHub: suspicious
    This appears to be a legitimate Aicoo context-sync skill, but it grants broad remote upload, edit, and delete authority without enough explicit safety checks.
    LLM: suspicious (high) · 28 May 2026