consult-echo

consult-echo is a skill for Codex from marin-community/marin. It costs 37 tokens per session (1,134 once invoked), scanned A, original, Apache-2.0.

A procedure for consulting Echo, a search system for prior work across internal documents, files, pull requests, issues, and optionally Discord discussions. It explains how to search, retrieve full results, and cite their original locations.

In plain words
What is it for?
Use it when prior-work policy or another workflow requires checking Echo, such as finding earlier diagnoses, implementation guidance, or related project discussions.
Why use it?
It helps find existing answers and evidence before repeating an investigation. It also preserves traceability by requiring canonical links or source identifiers for information that is used.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

About the project

Marin is an open-source research program, software platform, and community for developing foundation models such as large language models. Researchers use it for data preparation, tokenization, pretraining, posttraining, evaluation, and related experiments, including work on audio-text, DNA, and protein models. The catalogue entries are add-ons that support workflows around Marin.

marin-community/marin · 3,403 stars · on GitHub · marin.community

Install

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.

agentmods
npx agentmods add skills/marin-community/marin/consult-echo
Any agent
npx skills add marin-community/marin --skill consult-echo
Clone the repo
git clone --depth 1 https://github.com/marin-community/marin

Made for: Codex.

Wrote 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.

agentmods badge for consult-echo

README.md
[![agentmods](https://agentmods.dev/badge/skills/marin-community/marin/consult-echo.svg)](https://agentmods.dev/skills/marin-community/marin/consult-echo)
Your own site
<a href="https://agentmods.dev/skills/marin-community/marin/consult-echo"><img src="https://agentmods.dev/badge/skills/marin-community/marin/consult-echo.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,134 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01134
Opus 5 $0.00018 $0.00567
Sonnet 5 $0.00007 $0.00227
Haiku 4.5 $0.00004 $0.00113

Measured today against content hash 7b7b2bacf4fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

consult-echo 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.

.agents/skills/consult-echo/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Consult Echo

Search Echo before rediscovering prior work. Cite canonical Echo, GitHub, or Discord URLs for the evidence you use.

Use a natural-language federated search:

uv run infra/marina/apps/echo/cli.py search "how do I diagnose a stalled TPU collective" --limit 10

Search covers wiki, file, pr, and issue by default. Repeat --domain to select a subset.

File search infers the configured Marin-community repository from the current Git checkout, including ordinary contributor forks. Pass --repository <owner/repo> to choose one configured repository or --repository all to search all six. The CLI prints the resolved file scope once. Searches that omit the file domain work outside a Git checkout.

Discord is excluded by default because messages may be noisy or untrusted. Add --domain discord only when discussion history is relevant, and open the canonical URL when surrounding thread context matters.

Fetch a result's full detail with the value in the SOURCE ID column:

uv run infra/marina/apps/echo/cli.py get <source-id>

The GRADE KEY column is for feedback. get also accepts file grading keys with numeric suffixes, such as file:20849.

Grade evaluated results with the exact query and printed keys:

uv run infra/marina/apps/echo/cli.py feedback --query "stalled TPU collective" \
  --grade wiki:730=0 --grade file:731=10 \
  <<< "The file result answered the task; wiki results were off-topic."

Use 0 for irrelevant and 10 for directly useful. Grade only evaluated results and always explain overall quality on stdin, including for an empty result set.

Use grep for exact strings in GitHub or Discord activity, narrowing with --source or --kind when needed:

uv run infra/marina/apps/echo/cli.py grep "FAILED_PRECONDITION" --source github

Use rg for exact identifiers in the current checkout. Echo's file index follows the periodically refreshed GitHub head, so it does not contain branch-only or uncommitted files. Use wiki search --tag <tag> when tags, rather than federated relevance, define the desired synthesis. Authentication reuses the shared Marin login via iris login; see Echo setup and access.

Read the full file on GitHub · 137 lines

Files

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.

Changes

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.

  1. today Changed 7b7b2bacf4fa
  2. 6d ago First seen · 137 lines · 37 tokens per session scan A 1bb6812ff0ed

Subscribe to this mod's changes

consult-echo is a skill published in the GitHub repository marin-community/marin (3,403 stars, last pushed today), licensed Apache-2.0. It adds 37 tokens to every session and 1,134 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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