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Install in OpenClaw
/install moltbook-digest
Description
Collect Moltbook posts and comments, build an evidence pack, and interpret it through either the calling agent or LiteLLM.
Usage Guidance
This skill appears coherent for Moltbook research, but review a few things before installing: 1) If you plan to enable the LiteLLM/provider path, only add API keys you trust and do so in a secure config or env var — supplying keys allows the script to make outbound calls. 2) 'uv sync' will install Python packages (litellm, pyyaml); consider using a virtualenv or isolated environment and pin package sources. 3) The script uses public Moltbook API endpoints by default (no auth required), but behavior may change if those endpoints are later restricted. 4) If you want to avoid any external network calls, run with --analysis-mode none (collection only) and keep provider configs empty. 5) If you are not comfortable providing provider credentials, audit the code paths that call litellm/providers (search for provider/api_key usage) prior to adding secrets. Overall the skill is consistent with its stated purpose.
Capability Analysis
Type: OpenClaw Skill
Name: moltbook-digest
Version: 0.1.2
The bundle is a specialized research tool designed to aggregate and analyze discussions from Moltbook. The core logic in `scripts/moltbook_digest.py` uses standard API interactions to fetch posts and comments, while the `SKILL.md` and `config.example.yaml` provide structured instructions for the AI agent to generate research reports. There is no evidence of malicious intent, unauthorized data exfiltration, or harmful prompt injection; the instructions are strictly aligned with the stated purpose of evidence-based analysis and reporting.
Capability Assessment
Purpose & Capability
Name/description match the code and instructions. The script queries Moltbook API endpoints (DEFAULT_BASE_URL), expands posts/comments, and writes evidence and report artifacts. The declared runtime binary 'uv' matches the SKILL.md examples. Declared project dependencies (litellm, pyyaml) align with the script's ability to call external LLM providers and parse YAML config.
Instruction Scope
SKILL.md limits actions to collection, expansion, and analysis steps and instructs the agent to read/write the generated files (digest.md, evidence.json, analysis_input.md, agent_handoff.md, analysis_report.md). It explicitly prefers the public API over scraping and warns not to reveal API keys. There are no instructions to read unrelated system files or to exfiltrate secrets.
Install Mechanism
No packaged install spec is included (instruction-only), but SKILL.md expects using the 'uv' tool to sync the project which will install dependencies from pyproject.toml (litellm, pyyaml). These are public PyPI packages — this is expected for LLM integration but does create a normal package-install footprint. No arbitrary download URLs or archive extraction are present.
Credentials
The skill requires no environment variables by default. config.example.yaml exposes optional provider API keys and lists common env var names (OPENAI_API_KEY, ANTHROPIC_API_KEY, etc.) for providers the script can call. This is proportionate to the optional 'LiteLLM' analysis path, but users should understand that supplying provider credentials enables outbound calls to external LLM APIs.
Persistence & Privilege
The skill is user-invocable, not forced-always, and does not request elevated system privileges. It writes output files into the project/baseDir (expected behavior). It does not modify other skills or system-wide agent settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install moltbook-digest - After installation, invoke the skill by name or use
/moltbook-digest - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.2
moltbook-digest 0.1.2
- Refactored documentation for clarity and conciseness, emphasizing evidence pack collection and reporting through agent or LiteLLM paths.
- Removed the sample OpenAI agent configuration file (agents/openai.yaml).
- Updated setup and config guidance to clarify provider use and key management.
- Described output contract with fixed filenames and clearer handoff expectations for agent and LiteLLM modes.
- Added guidance for handling vague user requests and documenting assumptions in the report.
v0.1.1
moltbook-digest 0.1.1
- SKILL.md significantly updated: added guidance for feed-based collection, monitoring scenarios, and continuous tracking via history directory.
- Digest output now includes a reader-facing brief section while retaining full post and comment data for analysis.
- Clarified and expanded instructions for interpreting mode selection and automated tracking of topic or submolt over time.
- Updated markdown output requirements for analysis (compact references, required sections, etc.).
v0.1.0
Initial release of moltbook-digest.
- Enables research and deep summarization of Moltbook posts and comment threads via Moltbook's public API.
- Supports keyword-based discovery, semantic search, trend analysis, and structured reporting on discussions.
- Outlines a recommended workflow: framing the research brief, evidence gathering, selective expansion, and rigorous analysis.
- Provides dual analysis methods: standalone LLM (LiteLLM) and agent-based interpretation.
- Designed for read-only research by default, with clear separation before any data write actions.
Metadata
Frequently Asked Questions
What is MoltBook Digest?
Collect Moltbook posts and comments, build an evidence pack, and interpret it through either the calling agent or LiteLLM. It is an AI Agent Skill for Claude Code / OpenClaw, with 174 downloads so far.
How do I install MoltBook Digest?
Run "/install moltbook-digest" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is MoltBook Digest free?
Yes, MoltBook Digest is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does MoltBook Digest support?
MoltBook Digest is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created MoltBook Digest?
It is built and maintained by Zhiwei Li (@mtics); the current version is v0.1.2.
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