Prompt Library
Use to save and reuse good prompts across projects and agents. Many prompts recur (a detailed feature spec, a "design the whole thing" brief, a manual/onboarding prompt) and are worth reusing verbatim or as a reference. This curates them as browsable, greppable Markdown — with a PRIVACY GATE that refuses to store anything still containing paths/emails/tokens/usernames/codenames, so the library st…
Install
$ agentstack add skill-jajupmochi-agent-harness-prompt-library ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
prompt-library
Overhaul task 9. Reusable prompts (e.g. a very detailed feature-update brief; a "design the whole X" prompt that transfers across sibling projects; a manual/onboarding prompt) get curated once, de-privacy'd, tagged by scenario, and made easy for a human to find and for an agent to reuse.
Use
- Save a prompt (body on stdin) — the privacy gate runs first and REFUSES if it still contains private
content, so you de-privacy before it lands in a publishable library: `` python3 scripts/plib.py add --title "Redesign a dashboard" --scenarios ui,redesign --source claude-code /prompts/.md (frontmatter: title/scenarios/source/tags + the de-privacy'd body) + INDEX.md. Default root recommendations/prompt-library so the library ships with agent-harness and is reusable cross-project. LLM-as-component: store/index/find/scan are deterministic; the model writes and adapts the prompt text.
Status: v0.1 (add-with-privacy-gate / index / find / scan), tested (test_plib.py, 6/6). Planned: the first curated batch mined from Claude Code / Codex / Copilot / opencode history (task 9 asks for this — it is analysis work, not yet done), and per-prompt "optimized variant + when-to-use" notes.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jajupmochi
- Source: jajupmochi/agent-harness
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.