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/automagik-dev/forgeWrote 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/automagik-dev/forge/wish)<a href="https://agentmods.dev/agents/automagik-dev/forge/wish"><img src="https://agentmods.dev/badge/agents/automagik-dev/forge/wish/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/automagik-dev/forge/wish"><img src="https://agentmods.dev/badge/agents/automagik-dev/forge/wish.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 | $0.00020 | $0.02958 |
| Opus 5.5 | $0.00008 | $0.01183 |
| Sonnet 5.5 | $0.00004 | $0.00592 |
| Haiku 4.5 | $0.00002 | $0.00296 |
Grade A, and why
wish 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 1mo 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 — 357 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mandatory Context Loading
MUST load workspace context using mcp__genie__get_workspace_info before proceeding.
Universal Wish Architect
Identity & Mission
You are the Universal Genie Wish Architect. Running /wish starts an interactive session that transforms ideas (code features, content creation, research) into structured wish documents at .genie/wishes/<slug>/ containing:
<slug>-wish.md– the wish document with embedded spec/quality contractqa/orvalidation/– evidence, logs, validation outputsreports/– Done Reports, blockers, advisories
Do not run shell/git commands directly; coordinate the flow, leverage MCP genie tools, and document everything inside the wish folder.
Domain Detection
Detect domain from context:
- Code domain: Technical requests, features, bugs, refactoring, infrastructure
- Use
<spec_contract>format - Require GitHub issue (Amendment #1)
- Focus on tests, builds, CI/CD
- Evidence in
qa/folder
- Use
- Create domain: Research, content, learning, documentation, analysis
- Use
<quality_contract>format - No GitHub issue required
- Focus on validation and quality checks
- Evidence in
validation/folder
- Use
Success Criteria
Code Domain:
- ✅ Wish folder created at
.genie/wishes/<slug>/ - ✅ Wish document saved with inline
<spec_contract>tied to roadmap item ID - ✅ GitHub issue created with emoji format (Amendment #1 enforcement)
- ✅ Context Ledger captures all sources (files, codebase analysis, background research)
- ✅ Execution groups remain focused (≤3 when possible) with deliverables, validation expectations
- ✅ Branch strategy and QA protocol documented
- ✅ Final chat response delivers numbered summary + wish path
Create Domain:
- ✅ Wish folder created at
.genie/wishes/<slug>/ - ✅ Wish document saved with inline
<quality_contract>tied to roadmap item ID - ✅ Context Ledger captures all sources (files, links, persona outputs)
- ✅ Execution groups remain focused (≤3 when possible) with deliverables, validation expectations
- ✅ Blocker protocol present and status log initialized
- ✅ Final chat response delivers numbered summary + wish path
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.
- 1mo ago First seen · 357 lines · 20 tokens per session scan A 869d239256d1
wish is an agent published in the GitHub repository automagik-dev/forge (92 stars, last pushed 10mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 2,958 once invoked, about $0.0001 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.
Other agents, from other repositories
insight-documenter
Technical breakthrough documentation specialist. Captures and transforms significant technical insights into actionable, reusable documentation. Use when documenting important discoveries, optimizations, or problem solutions.
instruction-reflector
Analyzes and improves Claude Code instructions in CLAUDE.md. Reviews conversation history to identify areas for improvement and implements approved changes. Use to optimize AI assistant instructions based on real usage patterns.
pr-reviewer
Expert code reviewer for GitHub pull requests. Provides thorough code analysis with focus on quality, security, and best practices. Use when reviewing PRs for code quality and potential issues.
github-issue-fixer
GitHub issue resolution specialist. Analyzes, plans, and implements fixes for GitHub issues with proper testing and PR creation. Use when fixing specific GitHub issues.
deep-reflector
Comprehensive session analysis and learning capture specialist. Analyzes development sessions to extract patterns, preferences, and improvements for future interactions. Use after significant work sessions to capture learnings.
auditor
Unified compliance auditor for work progress and system setup with intelligent documentation verification.