Borrowing it
Nothing to install: this file belongs to indexedlabs/pydantic-ai-gepa. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/indexedlabs/pydantic-ai-gepa/main/.claude/skills/mighty/SKILL.mdgit clone --depth 1 https://github.com/indexedlabs/pydantic-ai-gepaWrote 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/indexedlabs/pydantic-ai-gepa/mighty)<a href="https://agentmods.dev/skills/indexedlabs/pydantic-ai-gepa/mighty"><img src="https://agentmods.dev/badge/skills/indexedlabs/pydantic-ai-gepa/mighty/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/indexedlabs/pydantic-ai-gepa/mighty"><img src="https://agentmods.dev/badge/skills/indexedlabs/pydantic-ai-gepa/mighty.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 | $0.00087 | $0.00393 |
| Opus 5 | $0.00044 | $0.00197 |
| Sonnet 5 | $0.00017 | $0.00079 |
| Haiku 4.5 | $0.00009 | $0.00039 |
Grade A, and why
mighty 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 10d 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
Mighty (mt)
Session start
- Run
mt prime. - If you need the repo prefix for citations, run
mt repo show.
Find context first
- Prefer
mt search <keyword>andmt treebefore grepping code. - Deep dive entities with
mt show <id>. - Use citations in descriptions:
[Title](cite:<id_prefix>-spec-...)/...-dec-.../...-task-...(always include link text). - Resolve
.loromerge conflicts using themergesub-skill inmighty/merge/.
Create and track work
- New spec:
mt new --title "..." --type feature --description-file - - New decision:
mt decision new --title "..." --rationale "..." - New task:
mt task new --title "..." --type task --description-file - - Start work:
mt claim <task-id> - Link evidence/relationships:
mt link ...
Inbox triage (when user runs mt inbox)
- Fix obvious typos in titles.
- Clarify titles to be concise/actionable.
- Find/link parents via
mt search. - Promote from triage → draft once clarified.
Before you say “done”
- Run
mt closeoutand address anything it flags. - Record any missing decision(s), link evidence, then
mt commit.
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.
- 10d ago First seen · 39 lines · 87 tokens per session scan A e9776998c39f
mighty is a skill published in the GitHub repository indexedlabs/pydantic-ai-gepa (34 stars, last pushed 16d ago), licensed MIT. It adds 87 tokens to every session and 393 once invoked, about $0.0004 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 2026-09-01.
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