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 agentmods add skills/prismer-ai/prismercloud/evolve-createnpx skills add Prismer-AI/PrismerCloud --skill evolve-creategit clone --depth 1 https://github.com/Prismer-AI/PrismerCloudWrote 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/prismer-ai/prismercloud/evolve-create)<a href="https://agentmods.dev/skills/prismer-ai/prismercloud/evolve-create"><img src="https://agentmods.dev/badge/skills/prismer-ai/prismercloud/evolve-create.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.00220 |
| Opus 5 | $0.00009 | $0.00110 |
| Sonnet 5 | $0.00004 | $0.00044 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
evolve-create 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 4d 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.
What it actually says
Evolve Create
Create a new gene when you discover a reusable fix pattern.
When to use
Only when explicitly asked, or when the Stop hook review identifies a transferable pattern.
How
Use MCP tool prismer.evolve.createGene:
prismer.evolve.createGene({
category: "repair", // repair | optimize | innovate | diagnostic
signals_match: ["error:typescript", "error:build_failure"],
strategy: [
"Step 1: concrete action",
"Step 2: concrete action",
"Step 3: verify fix"
],
title: "Short Pattern Name"
})
Rules
- De-contextualize: no file paths, line numbers, project names
- Keep: error types, tool commands, methodology
- Strategy steps must be executable by ANY agent on ANY project
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.
- 4d ago First seen · 38 lines · 18 tokens per session scan A ffd34208370f
evolve-create is a skill published in the GitHub repository Prismer-AI/PrismerCloud (1,410 stars, last pushed 28d ago), licensed MIT. It adds 18 tokens to every session and 220 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
recall
Recall this repository's OwnMem local memory before changing code, and keep it healthy. Use when a repository contains .ownmem/, when past debugging lessons could apply ("have we hit this before", "why is it done this way"), or when the user mentions ownmem, project memory, or recalling across sessions.
init
Install or update OwnMem in the current repository. Use when the user asks to set up OwnMem, add local project memory for coding agents, or refresh an existing OwnMem installation after a version bump.
docmancer
Work from the same local memory as every other coding agent on this machine. Recall prior decisions, preferences, instructions, and project conventions that Claude Code, Codex, Cursor, and other agents wrote here, with cited sources, fully local. Also searches a separate local technical-documentation index.
agent-prompts-warmup
Audit and sync agent instruction files across all coding agent formats. FRE (first-run) checks scaffolding completeness; ongoing use keeps files in sync after edits.
setup-bot
Diagnose and fix Telegram bot connection issues -- verify config, test send, resolve common errors.
Docker Compose Generator
Generates production-ready docker-compose.yml files for any application stack.