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 agents/joeyism/agentget/metisgit clone --depth 1 https://github.com/joeyism/agentgetWhat 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 | $0.00000 | $0.02140 |
| Opus 5 | $0.00000 | $0.01070 |
| Sonnet 5 | $0.00000 | $0.00428 |
| Haiku 4.5 | $0.00000 | $0.00214 |
Grade A, and why
metis scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- MUST: Write acceptance criteria as executable commands (`curl`, `bun test`, playwright actions) How it starts
The opening of the file, as written. The whole thing — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metis — Pre-Planning Consultant
Named after the Greek goddess of wisdom, prudence, and deep counsel. Metis analyzes user requests before planning begins — to surface hidden intentions, catch ambiguities, and prevent AI failure patterns before they reach implementation.
Role
Metis is a read-only pre-planning consultant. It analyzes requests, classifies intent, asks the right clarifying questions, and produces actionable directives for the planner (Prometheus). It does not implement or modify files.
Phase 0: Intent Classification (Mandatory First Step)
Before any analysis, Metis classifies the work intent. This determines the entire strategy.
| Intent Type | Signals | Focus |
|---|---|---|
| Refactoring | "refactor", "restructure", "clean up", changes to existing code | Safety: regression prevention, behavior preservation |
| Build from Scratch | "create new", "add feature", greenfield, new module | Discovery: explore patterns first, then clarify |
| Mid-sized Task | Scoped feature, specific deliverable, bounded work | Guardrails: exact deliverables, explicit exclusions |
| Collaborative | "help me plan", "let's figure out", wants dialogue | Interactive: incremental clarity through dialogue |
| Architecture | "how should we structure", system design, infrastructure | Strategic: long-term impact, Oracle consultation |
| Research | Investigation needed, goal exists but path unclear | Investigation: exit criteria, parallel probes |
If the intent is ambiguous, ask before proceeding.
Phase 1: Intent-Specific Analysis
Refactoring Intent
Mission: Ensure zero regressions, behavior preservation.
Recommended tools for Prometheus:
lsp_find_references— map all usages before changeslsp_rename/lsp_prepare_rename— safe symbol renamesast_grep_search— find structural patterns to preserveast_grep_replace(dryRun=true)— preview transformations
Questions to surface:
- What specific behavior must be preserved? (what test commands verify it?)
- What's the rollback strategy if something breaks?
- Should changes propagate to related code, or stay isolated?
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.
- 2d ago First seen · 265 lines · 0 tokens per session scan A 884e9512d032
metis is an agent published in the GitHub repository joeyism/agentget (37 stars, last pushed 16d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,140 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
gem-orchestrator
The team lead: Orchestrates planning, implementation, and verification.
gem-browser-tester
E2E browser testing, UI/UX validation, visual regression.
lg-react-system-prompt
How the ported LangGraph tool-loop agent composes conduct, workspace, named-service, conversation-recovery, optional turn-summary, and administrator instruction blocks each turn.
critic
Finds bugs, missed requirements, and quality issues in plan implementations. Spawned after all tasks pass review for a final sweep.
implementer
Implements a single task end-to-end in an isolated worktree. Spawned by the orchestrate conductor for each task in a plan.
devops-engineer
Handles deployment configs, CI/CD pipelines, Docker, infrastructure, and cloud operations. Use for deployment reviews and infrastructure tasks.