SKILLEMALL.ai

AC file-inbox

Bidirectional file management system for OpenClaw workspaces. Organizes, indexes, and retrieves files exchanged with users via any channel. Use when: a user sends a file (PDF, image, CSV, code, dataset, etc.) and it should be saved; the agent generates a file (report, analysis, chart) to send; user asks to find, list, or search previously received/sent files; user asks "what files do I have?", "find the PDF I sent last week", or any file organization/retrieval request. NOT for: task tracking, calendar events, or non-file content like text messages.

ClawHub Agent Skills author: dgkim311 v1.0.0 MIT-0 8 files · 4 scripts body ≈ 985 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Bidirectional file management system for OpenClaw workspaces.

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
100/100
safety, quality, tests
Safety 60%
100
Quality 40%
100
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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 · 0

    ✓ No critical or high findings

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 123): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 100Steps. 19 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 985 tokens
    • 100Running it twice. Mutating operations check current state

    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

    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 2 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 554: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 19 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 4 scripts are documented

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

    External checks

    ClawHub: suspicious
    This is a coherent local file inbox skill, but it needs review because it can move files by default and stores unsanitized file metadata in a persistent index that agents are told to read.
    LLM: suspicious (high) · VirusTotal: · 16 Sept 2026