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 indexedlabs/pydantic-ai-gepa --skill gepa_optimizegit 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/gepa_optimize)<a href="https://agentmods.dev/skills/indexedlabs/pydantic-ai-gepa/gepa_optimize"><img src="https://agentmods.dev/badge/skills/indexedlabs/pydantic-ai-gepa/gepa_optimize/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/gepa_optimize"><img src="https://agentmods.dev/badge/skills/indexedlabs/pydantic-ai-gepa/gepa_optimize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Tool Misuse · line 174 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- high System Prompt Leakage · line 641 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 642 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
- high System Prompt Leakage · line 643 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00101 | $0.08686 |
| Opus 5 | $0.00051 | $0.04343 |
| Sonnet 5 | $0.00020 | $0.01737 |
| Haiku 4.5 | $0.00010 | $0.00869 |
Grade B, and why
gepa-optimize scanned grade B 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 11d 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
gepa components show instructions How it starts
The opening of the file, as written. The whole thing — 748 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gepa-optimize
You are the reflection model. The gepa CLI is a small toolkit that handles minibatches, trace/report persistence, candidate evaluation, comparison, and history bookkeeping; you read failure reports and traces, edit component slots or source code, and continue until the run completes.
There is no propose or reflect verb on the CLI because that's the work you do — while gepa run is paused, or between manual gepa eval invocations — by editing files.
Outer Omni protocol for code candidates
gepa run --lanes is intentionally a single-parent managed run. Do not try to
turn its lane count into a multi-parent Omni plan. For independently explored
git/code candidates, a root orchestrator drives the separate durable outer
controller and routes packets without reading reflection text:
gepa omni start --plan ./omni-plan.json
gepa omni next <omni-id> --json
# create only the workspace named in child_ready/phase2_ready, then launch your worker
gepa omni child-dispatched <omni-id> --receipt ./dispatch.json
gepa omni child-submit <omni-id> --receipt ./child-result.json
gepa omni compare-submit <omni-id> --receipt ./comparison.json
gepa omni reporting-submit <omni-id> --receipt ./report.json # only if reporting was planned
gepa omni ack <omni-id> <event-id>
The plan uses SHA-256-pinned seed/minibatch/test artifacts, evaluator identity
and digest, equal phase-one metric-call slices, an explicit repeated comparison
budget, and a fresh phase-two workspace. Workspace paths may be intended paths
at start; create or verify the exact isolated directory before submitting the
dispatch receipt. A child_ready packet is all the
worker needs: its child/engine ID, isolated workspace, immutable seed and
minibatch paths/hashes, opaque SHA-pinned driver manifest, and reserved metric
calls. The controller never executes the manifest; the orchestrator reads it
to choose its engine adapter. Submit only immutable
receipts with those same identities. The controller, not child self-reported
scores, chooses a Pareto provisional winner, then accepts it only when the
shared confidence-interval/practical-delta comparison clears the frozen
threshold against seed/incumbent. Rejected, equivalent, or inconclusive votes
retain the baseline; an optional bounded max_repetitions can collect more
matched samples only for an inconclusive vote. Events redeliver unacked work
after restart.
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.
- 11d ago First seen · 748 lines · 101 tokens per session scan B 529ab4b1418f
gepa-optimize is a skill published in the GitHub repository indexedlabs/pydantic-ai-gepa (35 stars, last pushed 16d ago), licensed MIT. It adds 101 tokens to every session and 8,686 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-01.
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