Install
$ agentstack add skill-alessiomarcone-agent-fieldbook-prompt ✓ 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
Turn a rough request into the shortest prompt that reliably defines the work.
References
- Read
references/ai-fluency-4d-corso.mdfor Anthropic's Description framework and prompting techniques. - Read
references/codex-prompting.mdfor current Codex prompting rules when the target is Codex. - Read
references/regole-distillate.mdonly for cross-cutting boundaries and verification.
Procedure
- Resolve the target product only when product behavior changes the prompt.
- Recover only missing parts that materially affect the result and are supported by the user's request or supplied context:
- Goal: the result to create or change.
- Context: relevant sources, files, examples, errors, and prior decisions.
- Boundaries: what must stay unchanged, what not to invent, and which actions require approval.
- Output: artifact, format, audience, length, and destination.
- Done when: observable acceptance checks.
- Add examples, role, decomposition, a checklist, or an explicit planning step only when the user requests them or they resolve a concrete ambiguity. Do not add a conventional template merely because it is common for that task type.
- Never invent missing scope, numbers, timelines, audiences, deliverables, or acceptance criteria. Preserve a concise request and its approximate length when the user asks for brevity. Use a visible placeholder for a necessary unknown; ask one focused question only when no useful prompt can be produced without the answer.
- Add a freshness or source requirement for time-sensitive claims.
- Return one ready-to-copy prompt; do not execute it unless requested.
Output contract
Return:
- Ready prompt — one copyable block.
- Assumptions — only unavoidable assumptions; omit if none.
- Why it works — at most two lines.
- Verification — the most important check on the result.
When the user explicitly requests a short or simple rewrite, return only the Ready prompt and, if essential, one line of Verification. Do not append a rationale, assumptions section, or follow-up question.
Boundaries
- Do not inflate a simple request into a long template.
- Treat explicit brevity as a hard output constraint.
- Do not turn an unspecified constraint into a convenient assumption.
- Split unrelated tasks into separate prompts.
- If the actual need is a skill, project instruction, connector, or subagent, say so.
- Answer in the user's language.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: alessiomarcone
- Source: alessiomarcone/agent-fieldbook
- 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.