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 skills/galileo-agent-labs/eval-engineer/eval-fetchnpx skills add Galileo-Agent-Labs/eval-engineer --skill eval-fetchgit clone --depth 1 https://github.com/Galileo-Agent-Labs/eval-engineerWrote 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/galileo-agent-labs/eval-engineer/eval-fetch)<a href="https://agentmods.dev/skills/galileo-agent-labs/eval-engineer/eval-fetch"><img src="https://agentmods.dev/badge/skills/galileo-agent-labs/eval-engineer/eval-fetch.svg" alt="Measured on agentmods" 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 | $0.00040 | $0.00802 |
| Opus 5 | $0.00020 | $0.00401 |
| Sonnet 5 | $0.00008 | $0.00160 |
| Haiku 4.5 | $0.00004 | $0.00080 |
Grade A, and why
eval-fetch 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 6d 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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Eval Fetch
Use this skill to turn messy Galileo console links and IDs into local evidence. The goal is a grounded debug packet, not a diagnosis.
Do not print secret values. Report only credential variable names, whether expected variables are present, and the exact fetch blocker.
First Parse The Input
Use skills/eval-engineer/scripts/parse_galileo_url.py when the user provides a
Galileo URL. Follow skills/eval-engineer/references/galileo-url-intake.md for
artifact-specific behavior.
Preserve source metadata in the packet:
source.console_urlsource.console_hostsource.workspace_slugsource.project_id- artifact IDs such as
log_stream_id,experiment_id,session_id, ortrace_id
Ask Only For Missing Information
- project URL: ask for log stream, experiment, session, trace, time window, or failure metric.
- Experiments list URL: ask for latest experiment, specific experiment, failing experiment, or comparison pair.
- Log stream URL: ask for latest N traces, failed traces, time window, or aggregate metrics if the user did not specify.
- Log stream aggregate metrics: use
skills/eval-engineer/scripts/fetch_log_stream_packet.pywith--urlor--project-idplus--log-stream-id. This fetches traces, spans, sessions, aggregates numeric scorer metrics into.galileo/current/debug-packet.json, and reportsmetric_fetch_status. - Trace/session URL: fetch that artifact and ask whether to compare against a baseline only if needed.
- If the URL parser returns
fetch_ready: true, say the Galileo artifact is resolved. If a slice is still needed, ask which slice to fetch; do not label the URL as not fetch-ready. - If the current repo has no fetch helper, SDK method, API route, or saved
packet capable of fetching the requested aggregate, say
fetch implementation gap. Do not imply that scorer aggregates, trace lists, or metric distributions were fetched when the command only parsed the URL. - If
fetch_log_stream_packet.pywrites a packet withmetric_fetch_status: missing_metric_results, say the fetch worked but Galileo did not return scored metrics for the requested slice.
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.
- 6d ago First seen · 82 lines · 40 tokens per session scan A 6f3fe1ebd3dc
eval-fetch is a skill published in the GitHub repository Galileo-Agent-Labs/eval-engineer (41 stars, last pushed 25d ago), licensed MIT. It adds 40 tokens to every session and 802 once invoked, about $0.0002 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 2026-08-30.
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