Install
$ agentstack add skill-just-agent-just-product-factor-12-factor-agents ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
12-factor-agents Skill
Name
12-factor-agents
Purpose
Audit and refactor LLM Agent systems for reliability, control, context discipline, tool safety, human-in-the-loop behavior, and production readiness.
When to use
- Agent runtime design
- Tool calling workflows
- Memory and state handling
- Human approval loops
- Long-running task control
- Agent productization
When not to use
- Static HTML polish only
- Pure CI configuration with no Agent logic
- General app deployment where no Agent exists
Inputs
Ask for or inspect:
- README and docs
- source files
- examples and recipes
- configuration files
- tests and validation scripts
- CI/CD workflow files
- logs, changelog, release notes, or version history
Workflow
- Identify the project goal and user-facing promise.
- Inspect available files.
- Apply
checklist.md. - Score with
scoring-rubric.md. - Produce an audit report using
audit-report-template.md. - Produce a refactor plan using
refactor-plan-template.md. - Prioritize changes by product value and release readiness.
- Validate changes if the environment allows.
Review dimensions
- Prompt and instruction boundaries
- Context engineering
- Tool contracts
- Control flow
- State and memory
- Human-in-the-loop
- Observability
- Error recovery
- Evaluation
- Release readiness
Refactor priorities
- Make the Agent behavior explicit
- Make tools safe and typed
- Make state inspectable
- Add evaluation and traces
- Improve docs and examples
Output format
Return:
- Summary
- Scorecard
- Critical findings
- Recommended changes
- Refactor plan
- Validation plan
- Next iteration suggestions
Example calls
See usage-examples.md.
Version
v0.5.0
Agent manifest
This Skill includes a machine-readable skill.json manifest so an Agent can quickly identify triggers, expected inputs, expected outputs, required files, and the review protocol before reading the full markdown pack.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Just-Agent
- Source: Just-Agent/just-product-factor
- License: MIT
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.