eou-diagnose

eou-diagnose is a skill for Claude Code from xiaolai/eou-foundry. It costs 24 tokens per session (808 once invoked), scanned A, original, ISC.

A diagnostic procedure for EOU failures using a defined failure taxonomy, project rules, and an incident-report schema. It classifies observable symptoms and recommends the smallest repair path.

In plain words
What is it for?
Use it to inspect incident reports or audit findings, validate structured YAML reports, and identify repair options such as adding a field, strengthening validation, or changing a stop condition.
Why use it?
It helps turn an EOU failure report into a specific failure class and a limited repair action instead of guessing at a broad fix.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: $skill-name invocation.

Part of the eou-foundry plugin — 14 skills, 1 command shipped together

Good fit Use it to inspect incident reports or audit findings, validate structured YAML reports, and identify repair options such as adding a field, strengthening validation, or changing a stop condition.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xiaolai/eou-foundry/eou-diagnose
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.

Any agent
npx skills add xiaolai/eou-foundry --skill eou-diagnose
Clone the repo
git clone --depth 1 https://github.com/xiaolai/eou-foundry

Made for: Claude Code.

Or install eou-foundry, the plugin that ships this one along with the rest of its 14 skills, 1 command.

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 eou-diagnose

README.md
[![agentmods](https://agentmods.dev/badge/skills/xiaolai/eou-foundry/eou-diagnose/github.svg)](https://agentmods.dev/skills/xiaolai/eou-foundry/eou-diagnose)
Your own site
<a href="https://agentmods.dev/skills/xiaolai/eou-foundry/eou-diagnose"><img src="https://agentmods.dev/badge/skills/xiaolai/eou-foundry/eou-diagnose/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.

agentmods 80×15 button for eou-diagnose

Your own site · 80×15
<a href="https://agentmods.dev/skills/xiaolai/eou-foundry/eou-diagnose"><img src="https://agentmods.dev/badge/skills/xiaolai/eou-foundry/eou-diagnose.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 808 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00024 $0.00808
Opus 5 $0.00012 $0.00404
Sonnet 5 $0.00005 $0.00162
Haiku 4.5 $0.00002 $0.00081

Measured 9d ago against content hash d2fb8f1af86d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

eou-diagnose 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 9d 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.

codex/skills/eou-diagnose/SKILL.md · 71 lines

How it starts

The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Diagnose EOU Failure

Diagnose the failure described in $target and recommend the minimum repair path.

Required reading

  1. foundry/failure-taxonomy.yml — F1–F12 class definitions and repair heuristics
  2. foundry/constitution.yml — invariants that constrain repair options
  3. schemas/incident.schema.yml — validate the input incident report against this schema if it is a structured YAML file

Stop conditions

Halt and request clarification if:

  • $target does not identify an EOU ID and one cannot be inferred from the content.
  • The incident report contains no observable failure symptom — only a conclusion or label.
  • foundry/failure-taxonomy.yml does not exist — failure classification cannot proceed without it.

Procedure

  1. Read $target (incident report or audit finding) and extract the observable failure symptom.
  2. For each symptom, classify it against the F1–F12 taxonomy. One symptom may match multiple classes — list all that apply, ranked by confidence.
  3. For each classified failure, identify the minimum repair action using this precedence (smallest blast radius first):
    • schema field addition or constraint
    • validator strengthening
    • stop condition
    • regression case
    • context manifest repair
    • ECP (structural EOU change)
    • human approval gate
    • EOU split / merge / retire
  4. Rule out prompt-only explanations: if the failure recurs despite correct inputs, classify as structural (F3–F12), not F1 (prompt ambiguity).
  5. Write the diagnosis report.

Output

Every diagnosis produces one of two outcomes:

  • Change warranted — write the diagnosis report, then use $ecp-propose to open an ECP.
  • No change warranted — write a no-change record to foundry/audits/incidents/{incident_id}.no-change.yml with fields: incident_id, eou_id, diagnosis_summary, decision: no_change, rationale, reviewed_by, reviewed_at, reopen_condition.

A no-change record is not a failure of the diagnosis process. It is evidence that the system reviewed and rejected a change rather than silently ignoring the incident.

Read the full file on GitHub · 71 lines

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. 9d ago First seen · 71 lines · 24 tokens per session scan A d2fb8f1af86d

Subscribe to this mod's changes

eou-diagnose is a skill published in the GitHub repository xiaolai/eou-foundry (10 stars, last pushed 16d ago), licensed ISC. It adds 24 tokens to every session and 808 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.

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