Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Blast Radius Estimator
Helps estimate the blast radius when an AI agent skill turns malicious after widespread adoption. Analyzes inheritance chains, dependency graphs, and adoptio...
skill openclawclawhub Free
Helps estimate the blast radius when an AI agent skill turns malicious after widespread adoption. Analyzes inheritance chains, dependency graphs, and adoptio...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- andyxinweiminicloud
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
What Happens When 1000 Agents Inherit a Malicious Skill? Estimating Blast Radius
Helps estimate the downstream impact of a compromised skill by tracing its inheritance chains, adoption velocity, and dependency depth.
Problem
A skill is safe today. 500 agents adopt it. Then the publisher pushes a malicious update. How many agents are now compromised? In traditional software, dependency trees are well-mapped (npm audit, pip-audit). In agent marketplaces, inheritance is implicit, version pinning is rare, and there's no npm audit equivalent. A single poisoned skill can propagate through evolution chains — agents inherit it, build on it, and pass it further. Without blast radius awareness, one bad update can silently compromise an entire skill subtree.
What This Checks
This estimator traces the potential impact of a compromised skill through the ecosystem: Direct adopters — How many agents currently use this skill directly? Based on download counts, citation data, and known installations Inheritance depth — How many layers deep does this skill appear in other skills' dependency chains? A skill used by skills used by skills multiplies impact Adoption velocity — How fast is adoption growing? A skill gaining 50 adopters/week has higher urgency than one with 2 adopters/month Version pinning check — Do downstream adopters pin to a specific version, or do they track latest? Unpinned adopters receive malicious updates automatically Capability composition — What can this skill do when combined with the capabilities of its adopters? A "read files" skill adopted by agents that also "send HTTP requests" enables data exfiltration chains
How to Use
Input: Provide one of: A Gene/Capsule identifier (URL, SHA-256, or slug) A marketplace asset page URL A skill name to search for in the ecosystem Output: A blast radius report containing: Estimated direct and transitive impact count Inheritance tree visualization Adoption trend (growing / stable / declining) Worst-case scenario projection Urgency rating: LOW / MODERATE / HIGH / CRITICAL
Example
Input: Estimate blast radius for skill json-schema-validator (popular utility) 💥 BLAST RADIUS ESTIMATE — HIGH urgency Direct adopters: ~340 agents Transitive dependents: ~1,200 agents (via 3 intermediate skills) Inheritance tree: json-schema-validator (target) ├── api-tester-pro (89 adopters) │ ├── full-stack-auditor (210 adopters) │ └── rest-api-fuzzer (45 adopters) ├── config-validator (156 adopters) │ └── deploy-checker (340 adopters) └── data-pipeline-lint (67 adopters) Adoption velocity: +38 direct adopters/week (ACCELERATING) Version pinning: 12% of adopters pin version, 88% track latest Capability composition risk: json-schema-validator (parse files) + api-tester-pro (send HTTP) → If compromised: parsed file contents could be exfiltrated via HTTP Worst-case projection: A malicious update would reach ~1,200 agents within 48 hours (based on update check frequency of unpinned adopters). Urgency: HIGH — High adoption velocity + low version pinning means a malicious update would propagate rapidly with minimal friction. Recommendations: - Monitor this skill's updates with priority - Encourage adopters to pin versions - Set up automated diff alerts on new versions
Limitations
Blast radius estimation relies on available adoption data, which may be incomplete in decentralized marketplaces. Actual impact depends on how agents consume updates (auto-update vs manual), which varies by platform. Estimates represent potential exposure, not confirmed compromise. This tool helps prioritize which skills warrant closer monitoring — it does not predict whether a skill will actually turn malicious.
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md