SKILLEMALL.ai

CF claude-code-engine

将 OpenClaw 升级为 Claude-Code 引擎架构 - 并发执行/自我反思/向量检索/子代理系统/上下文压缩

Not recommendedcritical or high security findings
ClawHub Agent Skills author: SMS v1.0.0 MIT-0 2 files body ≈ 3 545 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 31/100 · Will not run — weak spots: steps, result and completion, when it triggers

ReferenceSoftware developmentAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
62/100
safety, quality, tests
Safety 60%
61
Quality 40%
64
Run on models
none yet
Process rating
F
31/100
Will not run
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 5

  • high Dangerous commands cmd-persistence SKILL.md:125
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null; echo "0 */6 * * * /root/.openclaw/scripts/self-reflection.sh") | crontab -
  • high Dangerous commands cmd-persistence SKILL.md:422
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    (crontab -l 2>/dev/null; echo "*/30 * * * * /root/.openclaw/scripts/health_check.sh") | crontab -
Medium and low: 3
  • low Dangerous commands cmd-cron-mention SKILL.md:125
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null; echo "0 */6 * * * /root/.openclaw/scripts/self-reflection.sh") | crontab -
  • low Dangerous commands cmd-cron-mention SKILL.md:422
    Mentions editing / listing crontab
    (crontab -l 2>/dev/null; echo "*/30 * * * * /root/.openclaw/scripts/health_check.sh") | crontab -
  • low Dangerous commands cmd-cron-mention SKILL.md:534
    Mentions editing / listing crontab
    crontab -l | grep self-reflection

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 31/100

  • 0Steps. Prose only: no discrete steps
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3545 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 60: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 26 headings
  • +4Has examples (14 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: suspicious
The skill is mostly consistent with its stated goal, but it asks users to install persistent background jobs and broad command-running automation without enough safeguards or cleanup guidance.
LLM: suspicious (high) · VirusTotal: · 29 May 2026