prompt-guard
Detects prompt injection patterns in graph content with risk classification
Skill by ApiliumCode
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/apiliumcode-prompt-guard
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Node.js package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/prompt-guard
What's inside
- Skill name
prompt-guard- Description
- Detects prompt injection patterns in graph content with risk classification
- License
- MIT
- Instructions
- 31 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (10)
- CHANGELOG.md
- LICENSE
- README.md
- SKILL.md
- SKILL.sig
- package.json
- skill.test.ts
- skill.ts
- tsconfig.json
- types.ts
SKILL.md (first lines)
# prompt-guard Detects prompt injection patterns in graph content and classifies findings by risk level. ## When to Use Use this skill when: - Inspecting user-submitted text stored in the knowledge graph for injection attempts - Auditing graph content before it reaches downstream agents or tools - Monitoring for adversarial inputs such as role overrides, encoding evasion, or jailbreak prompts ## Risk Classification Each finding is classified into one of three levels: - **dangerous** -- Active injection attempts (role overrides, system overrides, jailbreak, shell commands) - **suspicious** -- Evasion techniques or anomalies (zero-width characters, homoglyphs, encoding tricks, template injection) - **safe** -- No injection patterns detected The overall classification for a scanned item is `dangerous` if any dangerous finding exists, `suspicious` if only suspicious findings exist, and `safe` otherwise. ## Instructions 1. Store text content in the graph using `skill_assert` or `skill_graph_query` 2. Query with predicate `guard:scan-result` to trigger the prompt-guard runtime 3. The skill enriches each result with a `classification` field and a `findings` array 4. Use `guard:injection-detected` (with proof) to record confirmed injection attempts 5. Query `guard:history` to review past scan results for the current agent
From ApiliumCode/mayros, MIT.
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Signals
- Stars
- 13
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Feb 26, 2026 (8 months ago)
- Last release
- Mar 30, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ApiliumCode/mayros
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
prompt-guard skill. Agent Mart. https://agentmart.dev/skills/apiliumcode-prompt-guard (last updated 2026-10-24)