failure-replay-engine

failure-replay-engine is a skill for Claude Code, Codex from DVNghiem/FlowDeck. It costs 31 tokens per session (497 once invoked), scanned A, original, MIT.

A failure-history workflow that records reverted commits, failed deployments, flaky tests, bug fixes, and build failures. It checks past incidents for patterns related to the files being changed.

In plain words
What is it for?
Use it before making changes to review matching failure records, and after identifying a failure to record its cause, affected files, and fix.
Why use it?
It helps prevent repeating mistakes that have already caused problems in the repository.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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/dvnghiem/flowdeck/failure-replay-engine
Any agent
npx skills add DVNghiem/FlowDeck --skill failure-replay-engine
Clone the repo
git clone --depth 1 https://github.com/DVNghiem/FlowDeck

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 failure-replay-engine

README.md
[![agentmods](https://agentmods.dev/badge/skills/dvnghiem/flowdeck/failure-replay-engine.svg)](https://agentmods.dev/skills/dvnghiem/flowdeck/failure-replay-engine)
Your own site
<a href="https://agentmods.dev/skills/dvnghiem/flowdeck/failure-replay-engine"><img src="https://agentmods.dev/badge/skills/dvnghiem/flowdeck/failure-replay-engine.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 497 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 $0.00031 $0.00497
Opus 5 $0.00015 $0.00249
Sonnet 5 $0.00006 $0.00099
Haiku 4.5 $0.00003 $0.00050

Measured 6d ago against content hash 363a6a7bccf7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

failure-replay-engine 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.

src/skills/failure-replay-engine/SKILL.md · 60 lines

What it actually says

Failure Replay Engine

FlowDeck remembers every failure that has been recorded in this repo. Before making a change, check the failure history for patterns that match your current task.

Failure Types Tracked

Type Example
reverted_commit A commit that was rolled back within 48h
failed_deployment A deployment that caused incidents
flaky_test A test that fails intermittently
bug_fix A fix for a production bug
build_failure A change that broke CI

Workflow

Before Making a Change

  1. Query ~/.fd-plan/<slug>/.codebase/FAILURES.json for failures matching the affected paths
  2. If a pattern is found with recurrence_count >= 2, surface a warning
  3. Include the failure context in your planning rationale

After a Failure is Identified

  1. Record it with the failure-replay tool
  2. Include: type, description, affected_paths, root_cause, fix_applied, tags

Recording a Failure

{ "action": "record", "entry": {
    "id": "auth-jwt-expiry-2024-03",
    "type": "bug_fix",
    "description": "JWT tokens expired before refreshing, locking out users",
    "affected_paths": ["src/services/auth.ts", "src/middleware/validate-token.ts"],
    "root_cause": "Clock skew between services caused premature expiry",
    "fix_applied": "Added 30s clock skew buffer to expiry check",
    "tags": ["auth", "jwt", "timing"]
}}

Querying Before Editing

Always query before touching auth, payment, schema, or async paths:

{ "action": "query", "query": { "path_prefix": "src/services/auth", "limit": 5 } }

Guidance

  • Recurring failures (recurrence_count ≥ 3) indicate a systemic issue — escalate to architect
  • Mark failures as resolved only after a regression test is green for 2 consecutive CI runs
  • Do not delete failure records — they are the repo's institutional memory
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. 6d ago First seen · 60 lines · 31 tokens per session scan A 363a6a7bccf7

Subscribe to this mod's changes

failure-replay-engine is a skill published in the GitHub repository DVNghiem/FlowDeck (24 stars, last pushed 17d ago), licensed MIT. It adds 31 tokens to every session and 497 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.

Related

Other skills, from other repositories

python-code-quality

Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.

microsoft/agent-framework · 40 tokens

oh-my-opencode-slim

Configure and improve oh-my-opencode-slim for the current user. Use when users want to tune agents, models, prompts, custom agents, skills, MCPs, presets, or plugin behavior. Also use when recurring workflow friction suggests a safe config or prompt improvement.

alvinunreal/oh-my-opencode-slim · 61 tokens

clonedeps

Clone important project dependency source code into an ignored local workspace so OpenCode can inspect library internals. Use when the user asks to clone dependencies, inspect dependency/source internals, understand SDK/framework behavior from source, debug library implementation details, or make core dependency repos…

alvinunreal/oh-my-opencode-slim · 76 tokens

codemap

Generate comprehensive hierarchical codemaps for UNFAMILIAR repositories. Expensive operation - only use when explicitly asked for codebase documentation or initial repository mapping.

alvinunreal/oh-my-opencode-slim · 34 tokens

deepwork

High-cost orchestrator workflow for large, high-risk, multi-phase coding efforts with meaningful dependencies and review gates. Do not activate for routine multi-file changes.

alvinunreal/oh-my-opencode-slim · 34 tokens

worktrees

Manage Git worktrees as OMO safe isolated coding lanes for complex, risky, or parallel work.

alvinunreal/oh-my-opencode-slim · 23 tokens