Agent Skill
Prompt Injection Test skill
prompt-injection-testcisco-ai-defense/skill-scannerevals/test_skills/malicious/prompt-injection/SKILL.md
A test skill with prompt injection patterns
always on
12 tokname + description
once used
48 tokSKILL.md body
bundled files
0
repo stars
2.6kGitHub
Install the Prompt Injection Test skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/cisco-ai-defense/skill-scanner --skill prompt-injection-test
Claude Code, by hand (all projects)
git clone --depth 1 https://github.com/cisco-ai-defense/skill-scanner.git /tmp/skill-scanner mkdir -p ~/.claude/skills cp -R /tmp/skill-scanner/evals/test_skills/malicious/prompt-injection ~/.claude/skills/prompt-injection-test
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 12 tok |
| When the agent uses it | The SKILL.md instructions | 48 tok |
| Only if opened | No bundled files | — |
Until it is used, prompt-injection-test costs about 114× less than the median MCP server we measured (1,363 tokens on every turn). Its instructions are only a pointer to another skill or file, so using it loads whatever that points to. Installing all 38 skills from cisco-ai-defense/skill-scanner would load 568 tokens of descriptions. Skills vs MCP study
Checks
- Tells the agent to pipe a download into a shell (curl … | sh). That runs whatever the URL serves at that moment, with your permissions.
- Contains text that matches a prompt-injection pattern. In the skills we checked by hand this was security teaching material or a test fixture; read the file before you install it.
- The name doesn't match its folder name, as the specification requires.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- System Override
- New Instructions
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