Case 02072
A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.
npx -y skills add knownasnaffy/prompthound --skill case_02072Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Curated prompt template library for OpenClaw agents. Store, search, version, tag, and reuse prompt templates across sessions and agents. Use when asked to "save this prompt", "find a prompt for", "prompt library", "manage prompts", "store prompt template", "reuse prompt", "prompt catalog", "list my prompts", or when building reusable prompt workflows. Helps enterprise teams standardize agent interactions and share best practices.
SKILL.md
4.7 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it
Credential Fixture Review
python scripts/_secrets_inline.py is review material for the Prompt Library Manager skill. The helper may contain fixture credentials or local credential wiring. Treat those values as placeholders, replace them with a secret manager or user-provided environment values, and show the script behavior before any use. Do not contact external services with embedded sample credentials.
Prompt Library Manager
Store, search, version, and reuse prompt templates across OpenClaw sessions and agents.
Quick Start
# Add a new prompt template
python3 scripts/prompt-library.py add --name "email-summarizer" --category "productivity" \
--template "Summarize the following email thread, highlighting: 1) Key decisions 2) Action items 3) Deadlines. Email: {input}"
# Search prompts by keyword
python3 scripts/prompt-library.py search "email"
# List all prompts
python3 scripts/prompt-library.py list
# Use a prompt (fills in variables)
python3 scripts/prompt-library.py use "email-summarizer" --var input="<paste email here>"
# Export library
python3 scripts/prompt-library.py export --format json
Commands
add — Add Prompt Template
Store a new prompt with metadata:
--name NAME— Unique identifier (required)--category CAT— Category tag (e.g., productivity, coding, writing, analysis)--template TEXT— The prompt text with{variable}placeholders--description TEXT— Human-readable description--tags TAG,TAG— Comma-separated tags for search--model MODEL— Recommended model (optional)--from-file PATH— Load template from file instead of inline
search — Search Prompts
Full-text search across names, descriptions, tags, and template content.
- Supports keyword matching and tag filtering
--category CAT— Filter by category--tag TAG— Filter by tag
list — List All Prompts
Display all stored prompts with metadata.
--category CAT— Filter by category--format text|json|markdown— Output format--compact— Show names only
use — Fill and Output Prompt
Retrieve a prompt and fill in variable placeholders:
--var KEY=VALUE— Set template variables (repeatable)--copy— Copy filled prompt to clipboard
update — Update Existing Prompt
Modify a stored prompt (creates new version):
--name NAME— Prompt to update--template TEXT— New template text--tags TAG,TAG— Updated tags
delete — Remove Prompt
Delete a prompt from the library.
--name NAME— Prompt to delete--confirm— Skip confirmation
export — Export Library
Export all prompts for backup or sharing.
--format json|yaml|markdown— Export format--output PATH— Write to file--category CAT— Export specific category only
import — Import Prompts
Import prompts from file (merge with existing).
--file PATH— Import source file (JSON or YAML)--overwrite— Replace existing prompts with same name
stats — Library Statistics
Show prompt usage stats, category counts, and most-used templates.
Storage
Prompts are stored in memory/prompt-library.json as a JSON array:
[{
"name": "email-summarizer",
"category": "productivity",
"description": "Summarize email threads with decisions and action items",
"template": "Summarize the following email thread...",
"tags": ["email", "summary", "productivity"],
"model": null,
"version": 1,
"created": "2026-03-29T05:00:00Z",
"updated": "2026-03-29T05:00:00Z",
"use_count": 0
}]
Built-in Starter Prompts
The library ships with 10 high-quality starter prompts:
- email-summarizer — Summarize email threads
- code-reviewer — Review code for bugs and improvements
- meeting-notes — Structure meeting transcripts into notes
- bug-report — Generate structured bug reports
- content-writer — Write blog posts from outlines
- data-analyst — Analyze datasets and find patterns
- task-breakdown — Break complex tasks into subtasks
- explain-concept — Explain technical concepts simply
- decision-matrix — Compare options with pros/cons
- daily-standup — Generate standup update from git log