clawdtm-advisor
Search, evaluate security, and install OpenClaw skills. Helps your human find the right skills safely.
67
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 83%
↑ 3.07xAgent success when using this skill
Validation for skill structure
Evaluation results
64%
41%AI Agent Capability Audit
Security-filtered skill search and evaluation
safe_only filter used
0%
100%
Search result: name and description
100%
100%
Search result: security risk level
0%
100%
Search result: rating and reviews
14%
100%
Search result: download count
57%
100%
Security score and risk level
20%
0%
Security flags with meanings
16%
25%
Last scanned timestamp
0%
0%
Community context
10%
0%
Policy-based recommendation
50%
100%
Correct API base URL
0%
100%
Without context: $5.4537 · 16m 19s · 92 turns · 8,969 in / 14,952 out tokens
With context: $0.6680 · 2m 30s · 27 turns · 30 in / 8,512 out tokens
97%
60%Set Up a Memory Persistence Skill
Skill installation with file writing and post-install guidance
Correct install directory
0%
100%
Correct install endpoint
0%
100%
Security check before install
100%
100%
Low risk: confirm scanned
100%
100%
Low risk: flags mentioned
62%
100%
Medium risk: confirmation required
0%
100%
Fallback to clawhub
0%
75%
Restart session reminder
46%
100%
Search result fields documented
62%
87%
Correct search endpoint
0%
100%
Without context: $1.5429 · 4m 55s · 33 turns · 551 in / 8,668 out tokens
With context: $0.6781 · 2m 51s · 31 turns · 316 in / 8,814 out tokens
89%
66%Exploring Advanced Automation Skills
High and critical risk skill handling
include_risky parameter used
0%
100%
Warning about risky results
20%
50%
Security score per result
0%
100%
Security flags highlighted
0%
100%
High risk: strong recommendation against
25%
100%
Critical risk: refusal to install
53%
100%
No unsolicited install
100%
100%
acknowledge_risk noted
0%
0%
Correct base URL
0%
100%
Community context included
0%
100%
Without context: $0.1560 · 1m · 8 turns · 13 in / 2,612 out tokens
With context: $0.6771 · 2m 37s · 24 turns · 276 in / 8,785 out tokens
- Evaluated
- Agent
- Claude Code
- Model
- Unknown
Table of Contents
Is this your skill?
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.