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.
npx skills add Nagiliant/Genesis-Legacy-V2 --skill genesis-amendgit clone --depth 1 https://github.com/Nagiliant/Genesis-Legacy-V2Wrote 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/nagiliant/genesis-legacy-v2/genesis-amend)<a href="https://agentmods.dev/skills/nagiliant/genesis-legacy-v2/genesis-amend"><img src="https://agentmods.dev/badge/skills/nagiliant/genesis-legacy-v2/genesis-amend/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/nagiliant/genesis-legacy-v2/genesis-amend"><img src="https://agentmods.dev/badge/skills/nagiliant/genesis-legacy-v2/genesis-amend.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 | $0.00035 | $0.00656 |
| Opus 5 | $0.00017 | $0.00328 |
| Sonnet 5 | $0.00007 | $0.00131 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
Amend 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 11d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amend — Change the Constitution
The formal process for changing the constitution, with mandatory impact analysis before any change lands. The constitution is supreme law; amendments are versioned and their downstream effects are scanned first.
Process
-
Identify the amendment. Take the section number as an argument, or show the constitution's table of contents and ask. Amendment types: tech stack, quality gates, conventions, architecture decisions.
-
Impact analysis (always first). Before applying anything, scan for downstream impact:
- Approval records — scan active features'
approvals/master.jsonandgroup-N.jsonfor records referencing the affected section or the constraints being changed. - Implementation dependencies — search feature directories for specs referencing the section, micro specs constrained by the changing rule, and completed implementations that may need review.
Present a summary with a risk level:
Impact Analysis for Amendment: AFFECTED FEATURES: {list with approval status} APPROVAL RECORDS: {count} reference affected constraints IMPLEMENTATIONS AT RISK: {count} completed implementations RISK LEVEL: {Low | Medium | High | Critical}--impactstops here (analysis only). If risk is High/Critical and--forceis not set, refuse: "This amendment affects {N} active features. Use--forceto proceed, or resolve in-progress work first." - Approval records — scan active features'
-
Apply the amendment. On approval:
- Draft the amendment text with its rationale.
- Write the change to the constitution.
- Append to the constitution's changelog (the versioning record):
The sequential| #{NNN} | {date} | S{section} | {summary} | {rationale} |#NNNis the amendment's version identifier; the changelog is the durable history. - Update the
project-state.mdsession log. - Downstream cleanup checklist — after applying, verify every reference still holds:
- other specs referencing the amended section — still accurate?
- design-doc sections describing the amended area — updated?
- skill/doc examples referencing the amended behavior — updated?
- coverage maps (FR/AC) — do they still add up?
- shared file paths — do other specs that touch them know?
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.
- 11d ago First seen · 53 lines · 35 tokens per session scan A 95051e841630
Amend is a skill published in the GitHub repository Nagiliant/Genesis-Legacy-V2 (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 656 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
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