build-patterns

A reference guide to engineering patterns and common integration mistakes from multi-round software builds. It focuses on problems that can appear where separately tested parts meet.

In plain words
What is it for?
Use it when planning, implementing, or reviewing work to identify seam risks and choose patterns that make integration failures easier to catch.
Why use it?
It helps teams look beyond passing unit tests, especially at live runtime paths such as queues, background workers, and non-HTTP requests.

Skill for Claude CodeCodex

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/jjilli/fable-flow/build-patterns
Any agent
npx skills add jjilli/fable-flow --skill build-patterns
Clone the repo
git clone --depth 1 https://github.com/jjilli/fable-flow

Made for: Claude Code, Codex.

Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,310 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 $0.00092 $0.01310
Opus 5 $0.00046 $0.00655
Sonnet 5 $0.00018 $0.00262
Haiku 4.5 $0.00009 $0.00131

Measured 2d ago against content hash c8d2b4339c56, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

build-patterns 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.

skills/build-patterns/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Build patterns & seam traps

Field notes from running this pipeline across many rounds of one codebase. The fable-prompting skill covers how to prompt; this covers what tends to break and what tends to work when the plan turns into code. None of this overrides the plan's Contracts — it's the judgment to apply within them.

The core failure mode: green per track, broken at the seam

The single most common real bug that survives per-track testing lives where a track meets something its own unit tests don't exercise: another track's code, or the live runtime. A round can show every track's suite green and still be broken. Prove each round with one real end-to-end run through the actual runtime path, not only the unit suite. Seams unit tests routinely miss:

  • Background threads, queues, event loops. The pure function is tested; the wiring that feeds it from the drain thread / worker / async loop is not. Test the dispatch, not just the callee.
  • Non-HTTP request scopes. A gate built on an HTTP-only base (e.g. Starlette BaseHTTPMiddleware) silently skips WebSocket and other scopes — an auth or rate-limit middleware that looks complete can leave the live event socket wide open. Test the socket/stream path explicitly, not just GET /.
  • Real timing and sampling. A loop gated by wall-clock fps/interval behaves differently under a tight test loop than in production. Make the seam deterministic (inject the clock, feed a fixed frame/event sequence) so the test actually pins the wiring instead of passing by luck.

The architect should name the round's riskiest seam and require a concrete end-to-end check of it; the integration reviewer should assume the seam is the bug until a real run says otherwise.

Reusable patterns (each earned, each made later rounds cheaper)

  • Provider-adapter, never-raises. For any optional capability (an AI model, an external service, a hardware backend): a make_X(config) factory that NEVER raises when the optional dependency is absent, a single typed error that wraps every failure mode, a lazy import inside the method, and a zero-dependency default that CI actually exercises. Optional providers degrade to the default; they never crash the pipeline.
  • Enqueue-only worker. Push heavy or optional work (vision, re-identification, matching) onto a bounded-queue daemon thread off the hot path. submit() never blocks and never raises (log-and-drop when full); the stop flag is named so it can't shadow a base-class attribute (_stop_event, not _stop); every failure is logged, never propagated to the caller.
  • Guarded schema migration. CREATE TABLE IF NOT EXISTS never adds a column to a table that already exists. Add new columns at startup with PRAGMA table_info
    • ALTER TABLE ADD COLUMN. When you extend a prune/cascade routine, keep its signature and return type stable so callers and their exact-shape tests don't move.
  • Invariant validators that don't break existing input. A newly-added required-invariant check can reject a config that was valid yesterday. Distinguish an explicit misconfiguration from a defaulted value the user never set (e.g. pydantic model_fields_set): reject the former, clamp/upgrade the latter. Ship compatibility by default, not a startup crash on upgrade.
  • Contract expansion is additive. When a wire/dict/DB shape gains a field, exact-equality tests (set(obj) == KEYS) will break by design. Add the key to the expected set — don't loosen the assertion to >= — and fix the fixtures in the same change. Expect this and budget for it whenever a track widens a shared shape.
  • Record everything, rate-limit the noise. Persist every event/hit; gate the user-facing notification behind a per-source cooldown so a lingering condition can't storm the user. The record is complete; the interruptions are bounded.

Read the full file on GitHub · 89 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. 2d ago First seen · 89 lines · 92 tokens per session scan A c8d2b4339c56

Subscribe to this mod's changes

build-patterns is a skill published in the GitHub repository jjilli/fable-flow (2 stars, last pushed 1mo ago), licensed MIT. It adds 92 tokens to every session and 1,310 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 2026-08-31.

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