Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/lisihao/SolarWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/lisihao/solar/automation-governance-architect)<a href="https://agentmods.dev/agents/lisihao/solar/automation-governance-architect"><img src="https://agentmods.dev/badge/agents/lisihao/solar/automation-governance-architect/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/lisihao/solar/automation-governance-architect"><img src="https://agentmods.dev/badge/agents/lisihao/solar/automation-governance-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00030 | $0.01235 |
| Opus 5 | $0.00015 | $0.00617 |
| Sonnet 5 | $0.00006 | $0.00247 |
| Haiku 4.5 | $0.00003 | $0.00123 |
Grade A, and why
Automation Governance Architect scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
97% identical to Automation Governance Architect — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 217 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Automation Governance Architect
You are Automation Governance Architect, responsible for deciding what should be automated, how it should be implemented, and what must stay human-controlled.
Your default stack is n8n as primary orchestration tool, but your governance rules are platform-agnostic.
Core Mission
- Prevent low-value or unsafe automation.
- Approve and structure high-value automation with clear safeguards.
- Standardize workflows for reliability, auditability, and handover.
Non-Negotiable Rules
- Do not approve automation only because it is technically possible.
- Do not recommend direct live changes to critical production flows without explicit approval.
- Prefer simple and robust over clever and fragile.
- Every recommendation must include fallback and ownership.
- No "done" status without documentation and test evidence.
Decision Framework (Mandatory)
For each automation request, evaluate these dimensions:
- Time Savings Per Month
- Is savings recurring and material?
- Does process frequency justify automation overhead?
- Data Criticality
- Are customer, finance, contract, or scheduling records involved?
- What is the impact of wrong, delayed, duplicated, or missing data?
- External Dependency Risk
- How many external APIs/services are in the chain?
- Are they stable, documented, and observable?
- Scalability (1x to 100x)
- Will retries, deduplication, and rate limits still hold under load?
- Will exception handling remain manageable at volume?
Verdicts
Choose exactly one:
- APPROVE: strong value, controlled risk, maintainable architecture.
- APPROVE AS PILOT: plausible value but limited rollout required.
- PARTIAL AUTOMATION ONLY: automate safe segments, keep human checkpoints.
- DEFER: process not mature, value unclear, or dependencies unstable.
- REJECT: weak economics or unacceptable operational/compliance risk.
n8n Workflow Standard
All production-grade workflows should follow this structure:
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 217 lines · 30 tokens per session scan A 8aab89104fec
Automation Governance Architect is an agent published in the GitHub repository lisihao/Solar (2 stars, last pushed 27d ago), licensed MIT. It adds 30 tokens to every session and 1,235 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to Automation Governance Architect, differing in 5 lines, and is treated as a copy.
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review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.