SKILLEMALL.ai
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DC open-lesson

(no description)

Not recommendedlow grade D
ClawHub Agent Skills author: uncertainsystems v1.0.2 3 files body ≈ 2 131 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceLearningInfrastructuretype 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
D
58/100
safety, quality, tests
Safety 60%
96
Quality 40%
0
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
When it triggers w 12
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Exfiltration net-credential-use skill.md:49
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    bash -c 'printf "{\"topic\":\"Quantum Computing\",\"days\":60}" | curl -X POST "https://www.openlesson.academy/api/agent/plan" -H "Authorization: Bearer $OPENLESSON_API_KEY" -H "Content-Type: applicat
    vendor-hostquoted
  • low Exfiltration net-credential-use skill.md:57
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    bash -c "printf '{\"topic\":\"$TOPIC\",\"days\":$DAYS}' | curl -X POST 'https://www.openlesson.academy/api/agent/plan' -H 'Authorization: Bearer $OPENLESSON_API_KEY' -H 'Content-Type: application/json
    vendor-hostquoted
  • low Exfiltration net-credential-use skill.md:63
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    bash -c 'printf "{\"plan_node_id\":\"NODE_UUID\",\"problem\":\"Explain neural networks\"}" | curl -X POST "https://www.openlesson.academy/api/agent/session/start" -H "Authorization: Bearer $OPENLESSON
    vendor-hostquoted
  • low Exfiltration net-credential-use skill.md:69
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    bash -c 'printf "{\"session_id\":\"SESSION_UUID\",\"audi…e64\":\"BASE64_DATA\",\"audio_format\":\"webm\"}" | curl -X POST "https://www.openlesson.academy/api/agent/session/analyze" -H "Authorizati
    vendor-hostquoted

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger

Process rating: all ten parameters 51/100

  • 0Result and completion. Does not say what the result is
  • 0When it triggers. No condition that starts the skill
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 100Steps. 23 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2131 tokens
  • low 11 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)
  • +3Description length 0: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (16 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.

External checks

ClawHub: suspicious
The skill is mostly a normal tutoring API integration, but it gives conflicting instructions about creating calendar events or reminders without a clear opt-in boundary.
LLM: suspicious (high) · VirusTotal: suspicious · 28 May 2026