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Trust Decay Monitor
by
andyxinweiminicloud
· GitHub ↗
· v1.0.0
518
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Install in OpenClaw
/install trust-decay-monitor
Description
Helps track how AI skill verification results decay over time. A "verified" badge from 18 months ago may be meaningless today — dependencies updated, new att...
Usage Guidance
This skill is internally coherent and lightweight: it only needs curl and python3 and is instruction-only. Before installing, consider: (1) the skill will fetch external resources (CVE feeds, marketplaces, endpoints) — if you don't want the agent making network calls, restrict network egress or run checks in a controlled environment; (2) the skill does not request credentials, but if you later ask it to check private marketplace profiles you will need to provide appropriate read-only API keys — prefer scoped, short-lived credentials; (3) trust scores are heuristic: use them to prioritize re-audits, not as definitive evidence of compromise; (4) because the skill can be invoked autonomously, be aware it may perform queries automatically if allowed — limit autonomous execution if you want to control when network checks occur.
Capability Analysis
Type: OpenClaw Skill
Name: trust-decay-monitor
Version: 1.0.0
The skill's stated purpose is to monitor the decay of trust in AI skill verifications, which is a legitimate security-focused function. The `SKILL.md` file clearly describes this purpose, its inputs, outputs, and methodology without any evidence of prompt injection attempts, malicious instructions, or intent to subvert the agent. The required binaries (`curl`, `python3`) are general-purpose and plausibly needed for a security monitoring tool that would interact with various data sources, and their mere presence does not indicate malicious intent in this context. No other files suggest any harmful behavior.
Capability Assessment
Purpose & Capability
The name/description (trust-freshness scoring, dependency churn, CVE checks, endpoint stability) aligns with required binaries (curl to fetch remote resources, python3 to analyze them). No environment variables, credentials, or unrelated binaries are requested.
Instruction Scope
SKILL.md is an instruction-only specification describing inputs (skill slug, marketplace URL, batch of IDs) and outputs (score, decay factors). It does not instruct reading unrelated local files or accessing credentials. It does imply network fetches (CVE databases, skill endpoints, marketplaces), which is coherent with its purpose.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is written to disk or installed by the skill itself. This minimizes persistence and supply-chain risk.
Credentials
The skill requests no environment variables or credentials. That is proportionate for a tool that performs public-data checks. Note: if a user wants to check private marketplace profiles or authenticated APIs, additional credentials would be required but are not requested by the skill as provided.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill has no install-time persistence or requests to modify other skills. Autonomous invocation will permit network activity, which is expected for this monitoring function.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trust-decay-monitor - After installation, invoke the skill by name or use
/trust-decay-monitor - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of trust-decay-monitor.
- Tracks the freshness of AI skill verification audits, alerting when certifications may no longer be trustworthy.
- Computes a trust freshness score based on time since audit, dependency changes, ecosystem shifts, endpoint stability, and time since last re-verification.
- Outputs a detailed decay report with urgency recommendations for re-audit.
- Supports both single skill and batch portfolio assessment.
- Designed to help prioritize re-verification across changing security landscapes.
Metadata
Frequently Asked Questions
What is Trust Decay Monitor?
Helps track how AI skill verification results decay over time. A "verified" badge from 18 months ago may be meaningless today — dependencies updated, new att... It is an AI Agent Skill for Claude Code / OpenClaw, with 518 downloads so far.
How do I install Trust Decay Monitor?
Run "/install trust-decay-monitor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trust Decay Monitor free?
Yes, Trust Decay Monitor is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Trust Decay Monitor support?
Trust Decay Monitor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trust Decay Monitor?
It is built and maintained by andyxinweiminicloud (@andyxinweiminicloud); the current version is v1.0.0.
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