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CF execution-harness-hub

Agent 执行可靠性体系的导航入口。当用户询问 agent 为什么停了、怎么防 agent 提前退出、execution harness 是什么、40 个 pattern 有哪些、6 轴架构、hook 怎么配时匹配。不执行具体操作——各子 skill 分别处理。

Not recommendedcritical or high security findings
ClawHub Agent Skills author: _silhouette v1.1.0 MIT-0 80 files body ≈ 534 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 29/100 · Will not run — weak spots: steps, result and completion, when it triggers

ReferenceAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
71/100
safety, quality, tests
Safety 60%
75
Quality 40%
64
Run on models
none yet
Process rating
F
29/100
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 · 4

  • high Dangerous commands cmd-pipe-to-shell docs/ata-execution-harness-v4.md:299
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    检测到 <code>curl | sh</code> → 拦截
Medium and low: 3
  • medium Dangerous commands cmd-pipe-to-shell docs/ata-execution-harness-v4.md:282
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition)
    唯一例外：安全 guard。`tool-input-guard.sh` 检测 `rm -rf /`、`curl | sh` 时翻转为 fail-closed——宁可误拦。
    detector
  • low Dangerous commands cmd-pipe-to-shell docs/ata-execution-harness-v4.md:599
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; documentation table row)
    | 2.6 | Tool input guard | script | 拦截 `rm -rf /`、`curl | sh` 等已知危险模式 |
    detectortable
  • low Dangerous commands cmd-pipe-to-shell README.md:129
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; documentation table row)
    | 2.6 | Tool input guard | script | 拦截 `rm -rf /`、`curl \| sh` 等已知危险模式 |
    detectortable

Files scanned: 5. 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")
  • note frontmatter-key unknown frontmatter key "triggers"

Process rating: all ten parameters 29/100

  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (execution-harness-hub) differs from the folder (execution-harness)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Execution cost. Instruction body is 534 tokens

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 132: enough signal without eating the budget
  • +4Structure: 5 headings
  • +4Has examples (1 code blocks)

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

External checks

ClawHub: suspicious
This is a useful execution-reliability hook package, but it asks for powerful local automation that is broader and less clearly disclosed than the hub-style description suggests.
LLM: suspicious (high) · VirusTotal: · 29 May 2026