← Back to Skills Marketplace
275
Downloads
0
Stars
1
Active Installs
3
Versions
Install in OpenClaw
/install openclaw-glasses
Description
Bilingual search-layer skill for OpenClaw that turns ordinary web lookup into multi-source retrieval, intent-aware ranking, adaptive weighting, thread-pullin...
Usage Guidance
This skill appears to implement the claimed multi-source search features, but it omits critical metadata about credentials and local file access. Before installing or running it: (1) Ask the publisher for provenance (homepage, owner identity) and for a declared list of required env vars/config paths. (2) Do not run it with real secrets present — remove or rotate any GitHub token or LLM key you don't want the skill to see. (3) If you want to test it, run in an isolated environment (container or VM) and provide only least-privilege API keys (or dummy keys). (4) Inspect ~/.openclaw/credentials/search.json and ~/.git-credentials for sensitive data; prefer explicit env var configuration over left-behind credential files. (5) If you accept the skill, require the author to update the skill metadata to list required env vars (GROK_API_KEY/GROK_API_URL/GROK_MODEL, optional GITHUB_TOKEN) and to document what data is sent to external LLM/APIs. If you cannot verify the source or do not want network/credential exposure, do not install or run it.
Capability Analysis
Type: OpenClaw Skill
Name: openclaw-glasses
Version: 0.1.2
The skill bundle provides an advanced search and recursive research layer, but it is classified as suspicious due to high-risk credential-seeking behavior in `scripts/fetch_thread.py`. This script attempts to read the user's `~/.git-credentials` file to extract GitHub tokens, which is a sensitive action that crosses security boundaries, even if intended for API rate-limit management. Additionally, the bundle performs recursive web crawling and LLM-based link scoring across multiple platforms (GitHub, Reddit, HN, V2EX), which, while aligned with the stated purpose of 'deep research,' involves broad network access and the handling of API keys from various providers in `scripts/search.py` and `scripts/relevance_gate.py`.
Capability Assessment
Purpose & Capability
The code implements a multi-source, intent-aware search layer consistent with the skill name/description (scripts for aggregation, thread-pulling, relevance gating and intent guides). However the manifest declares no required env vars or config paths while the code expects provider credentials and may use GitHub tokens and a local OpenClaw credentials file — the capability is plausible but the declared metadata is incomplete.
Instruction Scope
Runtime instructions call the included Python scripts (search.py, chain_tracker.py, fetch_thread.py, relevance_gate.py). Those scripts perform network requests, call external LLM endpoints, and explicitly read local credential locations (e.g., relevance_gate._load_creds reads ~/.openclaw/credentials/search.json; fetch_thread._find_github_token reads GITHUB_TOKEN/GH_TOKEN and ~/.git-credentials). The SKILL.md does not list these specific file accesses or env vars. Scripts also 'fail open' in some cases (returning candidates when LLM unavailable), increasing silent network activity. The agent running these scripts could therefore read local tokens and send data to external APIs.
Install Mechanism
There is no install spec (no downloads), which reduces supply-chain risk. But the package includes multiple Python scripts that require the 'requests' library (search.py exits if requests missing). Because there is no install step, users may be surprised by runtime failures or by the code executing without explicit declared dependencies. No external binary downloads or obscure URLs were observed.
Credentials
Registry metadata declares no required env vars or config paths, yet the code expects and will use: GROK_API_KEY / GROK_API_URL / GROK_MODEL (relevance_gate._load_creds and env overrides); a credentials JSON at ~/.openclaw/credentials/search.json; and GitHub tokens via GITHUB_TOKEN, GH_TOKEN, or ~/.git-credentials (fetch_thread._find_github_token). Those are reasonable for a multi-source search skill, but they are not declared in the skill metadata and grant access to potentially sensitive secrets (LLM API keys, GitHub tokens).
Persistence & Privilege
The skill is not marked always:true and does not attempt to modify other skills or system-wide agent configuration. Its behavior is limited to fetching web content, calling LLM APIs, and writing output files if asked (chain_tracker can write results.json). Autonomous invocation is enabled by default (normal for skills) but does not on its own change this assessment.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install openclaw-glasses - After installation, invoke the skill by name or use
/openclaw-glasses - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.2
Refine the public description to better reflect the original search-layer concept plus the enhanced multi-source, adaptive-weight, Chinese-search, thread-pulling, and finance-aware realtime features. No secrets embedded.
v0.1.1
Refine the public-facing copy with a cleaner bilingual summary and clearer examples. No secrets embedded.
v0.1.0
Initial public release: multi-source search, intent-aware routing, adaptive weighting, Chinese-query optimization, and finance-aware realtime prioritization. Sanitized: no embedded secrets.
Metadata
Frequently Asked Questions
What is OpenClaw Glasses (多源搜索+意图感知+权重自适)?
Bilingual search-layer skill for OpenClaw that turns ordinary web lookup into multi-source retrieval, intent-aware ranking, adaptive weighting, thread-pullin... It is an AI Agent Skill for Claude Code / OpenClaw, with 275 downloads so far.
How do I install OpenClaw Glasses (多源搜索+意图感知+权重自适)?
Run "/install openclaw-glasses" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is OpenClaw Glasses (多源搜索+意图感知+权重自适) free?
Yes, OpenClaw Glasses (多源搜索+意图感知+权重自适) is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does OpenClaw Glasses (多源搜索+意图感知+权重自适) support?
OpenClaw Glasses (多源搜索+意图感知+权重自适) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created OpenClaw Glasses (多源搜索+意图感知+权重自适)?
It is built and maintained by wewehg (@wewehg); the current version is v0.1.2.
More Skills