SKILLEMALL.ai

CF ai-news-digest

抓取主流中外 AI 资讯源生成中文 markdown 日报。用户说"生成今日 AI 日报"/"今天有什么 AI 新闻"等指令时启用。

Not recommendedcritical or high security findings
ClawHub Agent Skills author: yan1sanjin v1.2.0 MIT-0 10 files · 2 scripts body ≈ 4 245 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 29/100 · Will not run — References files that are not bundled: URL

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
C
72/100
safety, quality, tests
Safety 60%
76
Quality 40%
67
Run on models
none yet
Process rating
F
29/100
Will not run
References files that are not bundled: URL
Tools and files w 18
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.
  3. The text references files that are not there: add them or drop the references.
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 · 3

  • high Dangerous commands cmd-pipe-to-shell README.md:46
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://unpkg.com/skill-atlas-cli/install.sh | bash
Medium and low: 2
  • medium Dangerous commands cmd-pipe-to-shell-known-host README.md:25
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/yan1sanjin/ai-news-digest/main/install.sh | bash
  • low Dangerous commands cmd-pipe-to-shell-known-host install.sh:3
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
    # Usage: curl -fsSL https://raw.githubusercontent.com/yan1sanjin/ai-news-digest/main/install.sh | bash
    comment

Files scanned: 10. 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")
  • warning missing-ref reference to a missing file: URL

Process rating: all ten parameters 29/100

Will not run. References files that are not bundled: URL
  • 0Tools and files. 1 referenced file(s) missing: URL
  • 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
  • 40Consistency. Frontmatter name (ai-news-digest) differs from the folder (ai-news-digest-cn)
  • 70Execution cost. Instruction body is 4245 tokens
  • 100Steps. 153 steps
  • 100Running it twice. No mutating operations
  • low 17 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 66: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -226 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +4Structure: 45 headings
  • +3Step-by-step instructions: 153 items
  • +4Has examples (15 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill’s news-digest behavior is coherent, but its install documentation promotes running mutable remote scripts directly, which users should review carefully before installing.
LLM: suspicious (high) · 28 May 2026