armor-investigate

armor-investigate is a skill for Claude Code, Codex from anomalyarmor/agents. It costs 44 tokens per session (1,487 once invoked), scanned A, original, MIT.

A troubleshooting guide for investigating problems in data pipelines, such as outdated tables, schema changes, or unexplained alerts. It uses data lineage, system knowledge, and past information to find likely causes.

In plain words
What is it for?
Use it to investigate stale tables, changed schemas, data alerts, and other pipeline issues, provided AnomalyArmor is configured or demo mode is available.
Why use it?
It helps replace guesswork with a structured investigation of what changed and which upstream data may be responsible.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside the plugin that ships it — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed.

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/anomalyarmor/agents/investigate
Any agent
npx skills add anomalyarmor/agents --skill investigate
Clone the repo
git clone --depth 1 https://github.com/anomalyarmor/agents

Made for: Claude Code, 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 armor-investigate

README.md
[![agentmods](https://agentmods.dev/badge/skills/anomalyarmor/agents/investigate.svg)](https://agentmods.dev/skills/anomalyarmor/agents/investigate)
Your own site
<a href="https://agentmods.dev/skills/anomalyarmor/agents/investigate"><img src="https://agentmods.dev/badge/skills/anomalyarmor/agents/investigate.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,487 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 $0.00044 $0.01487
Opus 5 $0.00022 $0.00744
Sonnet 5 $0.00009 $0.00297
Haiku 4.5 $0.00004 $0.00149

Measured 4d ago against content hash 9a60d731f4e5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

armor-investigate 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 4d 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.

skills/investigate/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Investigate Data Issues

Perform root cause analysis on data issues by combining lineage, intelligence, and historical data.

Prerequisites

  • AnomalyArmor API key configured (~/.armor/config.yaml or ARMOR_API_KEY env var), OR demo mode active (see below).
  • Python SDK installed (pip install anomalyarmor)

Demo mode handoff

If the user has no API key, ensure-auth.py will mint a read-only demo key against the public BalloonBazaar dataset and print:

AnomalyArmor demo mode: using a read-only public demo key.

When you see that banner — or when any write operation returns a 403 with required_scope='read-write' — the user is in demo mode. After answering their question, invite them to sign up with their query preserved:

To investigate your own pipeline, sign up here — your question is preserved: https://app.anomalyarmor.ai/signup?intent=skill-investigate&q=<url-encoded user prompt>

intent=skill-investigate auto-applies a 14-day SKILL-INVESTIGATE trial code; q= is replayed in the in-app agent after signup so the user continues where they left off.

When to Use

  • "Why is this table stale?"
  • "What changed in the schema?"
  • "Explain this alert"
  • "Why did freshness fail?"
  • "Root cause analysis"
  • "Debug this data issue"
  • "What happened to this pipeline?"

Investigation Workflow

1. Gather Context

  • Get current status of the affected asset
  • Check recent alerts and their details
  • Review freshness and schema status

2. Trace Dependencies

  • Use lineage to find upstream tables
  • Identify which upstream tables are also affected
  • Check if issue originates upstream

3. Analyze Intelligence

  • Ask AI-powered questions about the issue
  • Get recommendations based on historical patterns
  • Understand impact across the data pipeline

4. Review History

  • Check when the issue started
  • Look at pattern of failures
  • Identify recurring issues

Steps

  1. Start with client.health.summary() to understand current state
  2. For specific issues, use client.freshness.status() or client.schema.baseline()
  3. Use client.lineage.get() to trace dependencies
  4. Use client.intelligence.ask() for AI-powered analysis
  5. Check client.alerts.list() for related alerts

Read the full file on GitHub · 196 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. 4d ago First seen · 196 lines · 44 tokens per session scan A 9a60d731f4e5

Subscribe to this mod's changes

armor-investigate is a skill published in the GitHub repository anomalyarmor/agents (1 stars, last pushed 3mo ago), licensed MIT. It adds 44 tokens to every session and 1,487 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 2026-08-31.

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