SKILLEMALL.ai
GitHub ↗ RU Sign in

AC kisa-guideline-hub

Automatically collect and publish security guidelines and guides from KISA and Boho (보호나라) to Notion. Use when you need to (1) collect new security guidelines, (2) publish guidelines to Notion, (3) manage PDF downloads from KISA/Boho, or (4) run automated guideline collection. Triggered by "가이드라인 발행", "가이드 수집", "KISA 가이드", "보호나라 가이드", "guideline publisher".

ClawHub Agent Skills author: rebugui v1.0.1 MIT-0 5 files body ≈ 964 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 61/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceNotionPDFAI and agentsInfrastructuretype 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
98/100
safety, quality, tests
Safety 60%
99
Quality 40%
96
Run on models
none yet
Process rating
C
61/100
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

The same skill appears in 1 more place: ClawHub

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 Dangerous commands cmd-persistence references/examples.md:216
      Persistence mechanism (cron / launchd / scheduled task / autorun registry) (test fixture / example file; documentation of a security skill)
      <!-- ~/Library/LaunchAgents/com.openclaw.guidelines.plist -->
      fixturesecurity skill

    Files scanned: 5. 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 61/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 11 mutating operations with no state check
    • 100Tools and files. No external tools needed
    • 100Steps. 42 steps
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 964 tokens
    • low 12 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
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 5 example trigger phrases
    • +3Description length 359: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 42 items
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: suspicious
    The skill appears to do its advertised Notion publishing job, but it depends on unreviewed sibling code and ambient workspace secrets while encouraging automatic runs.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026