Borrowing it
Nothing to install: this file belongs to YougLin-dev/Aha-Loop. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/YougLin-dev/Aha-Loop/main/.agents/skills/god-consensus/SKILL.mdgit clone --depth 1 https://github.com/YougLin-dev/Aha-LoopWrote 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/skills/youglin-dev/aha-loop/god-consensus)<a href="https://agentmods.dev/skills/youglin-dev/aha-loop/god-consensus"><img src="https://agentmods.dev/badge/skills/youglin-dev/aha-loop/god-consensus/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/skills/youglin-dev/aha-loop/god-consensus"><img src="https://agentmods.dev/badge/skills/youglin-dev/aha-loop/god-consensus.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 | $0.00039 | $0.01959 |
| Opus 5.5 | $0.00016 | $0.00784 |
| Sonnet 5.5 | $0.00008 | $0.00392 |
| Haiku 4.5 | $0.00004 | $0.00196 |
Grade A, and why
god-consensus 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.
God Committee Consensus Skill
Purpose
This skill guides God Committee members through the consensus-building process for making collective decisions.
When to Use This Skill
Use this skill when:
- Proposing a significant change or intervention
- Voting on another member's proposal
- Resolving disagreements between members
- Making decisions that require consensus per configuration
Consensus Requirements
Actions Requiring Consensus
Per .god/config.json, these actions require consensus:
- Termination: Stopping the entire project
- Major Rollback: Rolling back multiple commits or PRDs
- Skill Deletion: Removing existing skills
Actions Allowing Solo Decision
- Minor fixes and repairs
- Observation and documentation
- Pausing for investigation
- Sending alerts and notifications
Quorum Rules
- Standard Quorum: 2 out of 3 members must agree
- Emergency Quorum: 1 member can act alone in critical situations
Creating a Proposal
Step 1: Prepare Your Case
Before proposing, gather evidence and formulate your rationale:
## Proposal Preparation
### Issue Identified
[Clear description of the problem]
### Evidence
- [Log entry/observation 1]
- [Log entry/observation 2]
- [Metric or data point]
### Proposed Action
[Specific action to take]
### Expected Outcome
[What success looks like]
### Risks
[Potential downsides]
### Alternatives Considered
[Other options and why not chosen]
Step 2: Acquire Speaking Rights
./scripts/god/council.sh lock YOUR_ID
Step 3: Create the Proposal
./scripts/god/council.sh propose YOUR_ID "TYPE" "DESCRIPTION" "RATIONALE"
Proposal Types:
intervention- Active intervention in executionrepair- Fix or repair actionpolicy_change- Change to rules or configurationtermination- Stop project executionrollback- Revert to previous state
Example:
./scripts/god/council.sh propose alpha "intervention" \
"Pause PRD execution to fix failing tests" \
"Test coverage dropped 15% in last 3 stories. Need to address before proceeding."
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.
- 2mo ago First seen · 360 lines · 39 tokens per session scan A 101b846e0bdd
god-consensus is a skill published in the GitHub repository YougLin-dev/Aha-Loop (178 stars, last pushed 9mo ago), licensed MIT. It adds 39 tokens to every session and 1,959 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
god-consensus compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| god-consensusYougLin-dev/Aha-Loop | Skill | 178 | 9mo ago | MIT | A | 39 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |