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Automation Skill Forge

skill-arnie016-codex-prompt-templates-automation-skill-forge · by Arnie016

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Install

$ agentstack add skill-arnie016-codex-prompt-templates-automation-skill-forge

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

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About

Automation Skill Forge

Goal: turn recurring automation work and GitHub/source research into sharp, non-overlapping Codex skill candidates or a clear decision not to create any.

Naming Regex

Generated skills from this automation must use:

^auto-skill-(research|build|review|audit|ops|safety|trend)-[a-z0-9]+(?:-[a-z0-9]+){1,4}$

Format: auto-skill---.

Examples:

  • auto-skill-trend-agentic-disease-intake
  • auto-skill-safety-mcp-secret-guard
  • auto-skill-build-github-repo-radar

Workflow

  1. Read automation memory and the current workspace index first.
  2. Read references/maintenance-automation-scope.md for the full agency model.
  3. Choose a primary aim: research, build, review, audit, ops, safety, or trend.
  4. Gather compact evidence with rg, manifests, README/docs, and exact source files.
  5. For multiple local source clones, use

$auto-skill-build-source-pattern-synthesis to cluster workflow patterns before writing skill files.

  1. Create as many useful non-overlapping skills as the evidence justifies.
  2. Move broad catalogs or long examples into references.
  3. Validate each new or changed skill with $skill-quality-gate.

Skill Candidate Contract

Name:
Regex match:
Generated by:
Aim:
Trigger:
Inputs:
Workflow:
Commands:
References:
Skip when:
Validation:
Useful end goal:

Command Defaults

  • Search: rg, rg --files, exact symbols, package manifests.
  • Repo scan: scripts/repo_snapshot.sh and scripts/token_budget.sh when available.
  • Validation: scripts/skill_audit.sh plugins/codex-supercharge/skills and quick_validate.py.
  • GitHub packaging: prepare files, docs, validation output, and commit-ready notes only; do not publish unless asked.

Trend Guardrail

Use trend signals to choose domains, not to invent claims. Current trend-backed skill ideas must cite source/date and include a safety or usefulness gate.

Read references/automation-skill-patterns.md and references/maintenance-automation-scope.md before creating generated skills or broad skill batches.

Validation

  • Every generated skill name matches the automation regex unless promoted to a stable first-class name.
  • Each candidate has a trigger, skip condition, workflow, references, and validation.
  • Broad catalogs or examples are moved into references before installation.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.