SKILLEMALL.ai

AB feishu-openclaw-paper-manager

Design or implement a paper-management workflow built on a Feishu bot plus OpenClaw. Use when the user wants to ingest papers from Feishu messages, save PDFs or source links into a Feishu cloud-docs paper folder, maintain a searchable multi-dimensional table of paper metadata and reusable tags, or evolve the tag taxonomy after every 50 newly added papers.

ClawHub Agent Skills author: Xi Wu v1.0.0 MIT-0 7 files body ≈ 2 620 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, consistency

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
B
66/100
Nearly there
Inputs and preconditions w 11
0
Consistency w 8
40
Tools and files w 18
60
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: 7. 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 66/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 40Consistency. Frontmatter name (feishu-openclaw-paper-manager) differs from the folder (feishu-paper-manager)
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 137 steps, 1 vague phrases
    • 100Failures and branches. 4 branches, has a failure section
    • 100Execution cost. Instruction body is 2620 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 17 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 357: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 137 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (4 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This is a coherent design-only skill for a Feishu paper-ingestion bot, with privacy and bulk-update risks that should be scoped before real deployment.
    LLM: benign (high) · VirusTotal: · 29 May 2026