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 metraton/gaia --skill gaia-plannergit clone --depth 1 https://github.com/metraton/gaiaWrote 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/metraton/gaia/gaia-planner)<a href="https://agentmods.dev/skills/metraton/gaia/gaia-planner"><img src="https://agentmods.dev/badge/skills/metraton/gaia/gaia-planner/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/metraton/gaia/gaia-planner"><img src="https://agentmods.dev/badge/skills/metraton/gaia/gaia-planner.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 | $0.00018 | $0.04353 |
| Opus 5 | $0.00009 | $0.02176 |
| Sonnet 5 | $0.00004 | $0.00871 |
| Haiku 4.5 | $0.00002 | $0.00435 |
Grade A, and why
gaia-planner 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 today.
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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gaia Planner
Plan creation from briefs. The planner reads a brief from the substrate DB,
decomposes it into tasks defined by outcome and verification, and persists the
plan back through the gaia plan CLI as markdown AND as one task row per task
(gaia task add). The orchestrator owns task dispatch and execution.
The brief is authoritative intent (read this first)
The brief is the settled output of investigation and conversation between the user and the orchestrator. Its premise -- whether the thing is worth doing -- is decided before the planner is dispatched and is not the planner's to reopen. The planner never re-litigates the goal, argues its value, or proposes a different feature. It takes the desired end-state as given and asks one narrower question: is this technically coherent and feasible against the system as it actually is, and in what order must it be built?
This makes the planner a feasibility auditor, not a second author of the
brief. Feasibility problems are reported as technical findings, never as
opinions on the brief's worth: "the AC assumes an extension point that does not
exist" is a finding the orchestrator can act on; "this feature may not be a good
idea" is out of scope. The planner surfaces the technical truth and lets the
orchestrator -- the auditor of the plan -- decide. Because the orchestrator
audits the plan, the planner returns everything that audit needs: the
feasibility findings, the assumptions it made where the brief was silent, the
execution risks, and the rationale for the task ordering (see reference.md,
Plan Structure) -- not just the task list.
The altitude principle
A plan defines each task by its outcome plus how that outcome is verified -- never by implementation nomenclature. Reference areas of the codebase loosely ("the brief CLI", "the approval module"); do not pin exact symbol names, file paths, or function signatures inside a task.
This is deliberate. Execution surfaces discoveries the planner cannot see:
an approval gate fires and changes the command, byte-coding or a refactor moves
a symbol, a downstream task lands a file somewhere the plan did not predict. A
task that pins hooks/modules/security/approval_grants.py:activate_db_pending_by_id
breaks the moment that symbol moves -- and worse, every downstream task that
referenced the pinned name breaks with it. A task that says "the approval
grant activation path" survives the move, because the executing agent resolves
the specific against the live codebase.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today Changed · +3 lines 5722884e4529
- 10d ago First seen · 318 lines · 18 tokens per session scan A 1216eafe77b5
gaia-planner is a skill published in the GitHub repository metraton/gaia (3 stars, last pushed today), licensed MIT. It adds 18 tokens to every session and 4,353 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 2026-08-31.
Other skills, from other repositories
review-team
A multi-reviewer code review process that checks a change from several specialist viewpoints and combines the results into one report. It can cover bugs, security, tests, dependencies, frontend behavior, and continuous-integration workflows.
ultra
Fans the work out as a fleet of parallel Grok and Codex agents billed to their own subscriptions, then synthesizes one result. The peer engine equivalent of ultracode, adding intensity without spending Claude quota on the fleet. Use it for genuinely broad goals, not only explicit asks for intensity.
grok-prompting
Brief writing guidance for composing self contained Grok briefs for coding, review, diagnosis, and second opinion tasks.
smoke
Runs a three probe live smoke wave after a plugin update and reports gate chain health before real work rides it.
codex-result-handling
Internal contract for returning Codex companion output without alteration.
shipwrights-loop
Drive multiple Jira tickets sequentially through the /shipwrights-epic pipeline. Auto-picks the next ticket, watches the PR until merged, transitions Jira to shipped, repeats. Resumable across Claude Code sessions via .shipwrights/loop-state.json. Invoked as /shipwrights-loop [N] | --status | --abort.