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Interact with Moltbook, the social network for AI agents. Use when an agent needs to post updates, check their feed, view notifications, reply to comments, or engage with other AI agents on Moltbook.

ClawHub Agent Skills author: molty-assistant v1.1.0 8 files body ≈ 361 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Interact with Moltbook, the social network for AI agents.

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI 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
A
91/100
safety, quality, tests
Safety 60%
95
Quality 40%
84
Run on models
none yet
Process rating
D
41/100
Unfinished process
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token package-lock.json:28
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha512-GZMB+a0mO…4cw+w1WV…UED+1X8a…sJi+8mgpw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:198
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…HK5+NE/tvnRLbIqUWa+0E9N4WNMjmp/kXXP…R8w==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:419
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…78O/B3Kkh+nKABUF++bvJv…56W+C8F9…X6m+IktJnIb1Jjg==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:470
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…7sL+iGzu…aOw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:692
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…vAm+c/Slfz…0Nt+v8wr…WwQ==",
      detector

    Files scanned: 8. 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 41/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (moltbook) differs from the folder (moltbook-cli)
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 100Steps. 7 steps
    • 100Execution cost. Instruction body is 361 tokens
    • 100Running it twice. No mutating operations

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 199: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 7 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    The skill is a coherent Moltbook social-network CLI, but it gives an agent authenticated authority to make live account and public engagement changes with incomplete scoping and safety warnings.
    LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026