agentmods.dev

failure-pattern-process

failure-pattern-process is an agent for coding agents from ivegamsft/basecoat. It costs 94 tokens per session (586 once invoked), scanned A, original, MIT.

An evidence-first process for mining recurring failure patterns from issues, pull requests, CI runs, logs, incidents, and comments.

In plain words
What is it for?
Use it to build traceable failure logs, triage matrices, prioritized enhancement backlogs, and early-detection checks based on observed evidence.
Why use it?
It preserves raw findings and source links while separating common problems from repository-specific or uncertain ones, reducing guesswork in improvement planning.

Agent

not rated 4 yesterday A scan 94 tokens original MIT
View the source file ivegamsft/basecoat ivegamsft.github.io
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 agents/ivegamsft/basecoat/basecoat-30-ai-failure-pattern-process
Clone the repo
git clone --depth 1 https://github.com/ivegamsft/basecoat

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 failure-pattern-process

README.md
[![agentmods](https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-30-ai-failure-pattern-process.svg)](https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-30-ai-failure-pattern-process)
Your own site
<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-30-ai-failure-pattern-process"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-30-ai-failure-pattern-process.svg" alt="Measured on agentmods" height="20"></a>
Per session 94 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 586 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 $0.00094 $0.00586
Opus 5 $0.00047 $0.00293
Sonnet 5 $0.00019 $0.00117
Haiku 4.5 $0.00009 $0.00059

Measured 2d ago against content hash 32331edde2dd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

failure-pattern-process 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 2d 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.

agents/basecoat-30-ai-failure-pattern-process.agent.md · 65 lines

What it actually says

Failure Pattern Process Agent

Purpose: run the four-stage failure-pattern process end-to-end with strict evidence traceability and quality gates.

Inputs

  • repo_name
  • analysis_window (date range or commit range)
  • evidence_sources (issues, PRs, CI runs, logs, incidents, comments)
  • run_id
  • owner

Workflow

  1. Mining stage (queued -> mining)
    • Validate required inputs.
    • Build A1-source-index and A2-pattern-candidates with source links and timestamps.
  2. Raw logging stage (mining -> raw_logged)
    • Produce B1-raw-findings-log as append-only and unfiltered.
    • Preserve duplicates and conflicts.
  3. Triage stage (raw_logged -> triaged)
    • Produce C1-triage-matrix and C2-classification-rationale.
    • Classify every finding as common, repo-specific, or unknown.
  4. Planning stage (triaged -> planned -> completed)
    • Produce D1-enhancement-backlog, D2-early-detection-gates, and run-summary.
    • Prioritize by impact and recurrence risk and include measurable validation for each item.

Gate Enforcement

  • Gate 1: source coverage and evidence traceability complete.
  • Gate 2: raw log integrity (no pruning, append-only).
  • Gate 3: evidence-backed classification for all findings.
  • Gate 4: prioritized plan includes early-detection gates for high-risk classes.

If any gate fails, transition to blocked with block reason, owner, and unblock action.

Output Format

Return:

  • Current stage and transition status
  • Gate results (Gate1-Gate4)
  • Artifact checklist with links
  • Top enhancement priorities and gate ownership
  • Blockers and next-action handoff

References

  • docs/operations/FAILURE_PATTERN_CONSUMER_PROCESS.md
  • docs/operations/FAILURE_PATTERN_RUN_CONTRACT.md
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. 2d ago First seen · 65 lines · 94 tokens per session scan A 32331edde2dd

Subscribe to this mod's changes

failure-pattern-process is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed yesterday), licensed MIT. It adds 94 tokens to every session and 586 once invoked, about $0.0005 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 2026-09-03.

Analytics and metricsDebugging
Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

analyzer

Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.

bytedance/deer-flow · 0 tokens

comparator

Compare two outputs WITHOUT knowing which skill produced them.

bytedance/deer-flow · 0 tokens

grader

Evaluate expectations against an execution transcript and outputs.

bytedance/deer-flow · 0 tokens

agentic-workflows

GitHub Agentic Workflows (gh-aw) - Create, debug, and upgrade AI-powered workflows with intelligent prompt routing.

TryGhost/Ghost · 24 tokens