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-discovergit 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-discover)<a href="https://agentmods.dev/skills/nagiliant/genesis-legacy-v2/genesis-discover"><img src="https://agentmods.dev/badge/skills/nagiliant/genesis-legacy-v2/genesis-discover/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-discover"><img src="https://agentmods.dev/badge/skills/nagiliant/genesis-legacy-v2/genesis-discover.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 | $0.00033 | $0.00739 |
| Opus 5 | $0.00016 | $0.00369 |
| Sonnet 5 | $0.00007 | $0.00148 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
Discover 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Discover — Build the Project Profile
A guided, conversational intake that produces .genesis/discovery/context.md — the single grounding document every later phase reads. Entry point of the pipeline; no prior approval required.
Inputs
.genesis/project-state.md(the mode).genesis/constitution/index.md(if it exists)- The mode-specific template:
discovery-greenfield.md/discovery-brownfield.md/discovery-lowfield.md - An existing
.genesis/discovery/context.mdwhen--refine
Process
- Read
project-state.md; extract the mode. Branch all behavior on it. - If discovery already exists and
--refinewas not passed, ask redo-or-refine. - Run the mode-specific guided conversation (below).
- Write
.genesis/discovery/context.mdand ask the user to confirm.
Greenfield — interview (7 areas)
Project Identity · Scope & Features · Constraints · Technology Preferences · Organizational Standards · Integration Points · Quality Expectations.
Brownfield — interview + scan + gap analysis
Greenfield's areas, plus:
- Codebase scan: languages/extensions, directory structure, test infrastructure, dependency health, CI/config, recent history (
git log --oneline -50), documentation state. - Human context: history, practices, pain points, tech debt, what works, improvement priorities.
- Gap analysis: classify each area Missing / Partial / Present, with a priority-ordered convergence plan.
Lowfield — interview + content scan + unit registry
Conversation (7 areas): Your Domain · Information Architecture · Workflow Stages (each becomes a pipeline stage) · Quality Standards · Progressive Reveal (sequential-discovery domains only) · Reference Materials · Tools & Formats. Then teach how the pipeline maps onto the domain and define the custom stages.
Unit registry (--scan to seed from existing files): map content files to unit IDs using a naming convention (propose, confirm), ask which stage each unit has reached, and write units.json:
{
"feature": "<feature-name>",
"convention": { "prefix": "U", "digits": 3, "separator": ": ", "example": "U001: Sample Title" },
"units": [
{ "id": "U001", "title": "Chapter 1: The Beginning",
"status": "in-progress", "currentStage": "dev-edit",
"entryStage": "dev-edit", "aliases": [], "notes": "Imported from chapters/ch-01.md" }
]
}
Units with no content yet are status: pending; imported units are in-progress with currentStage/entryStage set.
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 · 70 lines · 33 tokens per session scan A 36e47baf2374
Discover is a skill published in the GitHub repository Nagiliant/Genesis-Legacy-V2 (2 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 739 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.
Other skills, from other repositories
auth-doctor
Diagnose and fix issues in existing auth setups. Scans environment, files, security, middleware, OAuth, database, and dangerous code patterns. Produces scored health report with actionable fixes.
init
Set up the Claude Code harness for this project. Configures CLAUDE.md, permissions, hooks, MCP servers, agents, and SSOT docs based on your stack and chosen tier. Run on first setup or when CLAUDE.md is missing or has [PLACEHOLDER] markers. Trigger phrases: "set up harness", "configure claude", "onboard project"…
new-project
Start a new project from scratch. 3-phase interview: project goals → tech stack → architecture → conventions. Scaffolds using official tools then configures the Claude Code harness. Run on an empty directory. Trigger phrases: "start a new project", "create project from scratch", "greenfield setup", "I have an empty…
setup-memory
Configure project memory: write CLAUDE.md with architecture context and (Tier 3) set up a self-sustaining .claude/memory/ lifecycle — SessionStart load hook, Stop save-nudge hook, and a /save-memory skill that distills each session. Called by init or standalone to configure the memory pillar. Trigger phrases: "setup…
optimize-harness
Analyze Claude Code tool call logs and suggest harness improvements based on actual usage patterns. Requires observability enabled + 7 days of data. Trigger phrases: "optimize harness", "harness suggestions", "improve my setup", "analyze tool usage", "what hooks should I add".
implementation-plan
Define an incremental, reviewable, production-safe implementation plan for the active task and persist it as IMPLEMENTATIONPLAN.md plus a TASKSTATE.md update. Breaks work into the smallest safe slices with objective, exact scope, ordering rationale, key risks, validation approach, exit criteria, and work complexity…