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.
npx agentmods add skills/5uck1ess/devkit/yagninpx skills add 5uck1ess/devkit --skill yagnigit clone --depth 1 https://github.com/5uck1ess/devkitWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00026 | $0.00454 |
| Opus 5 | $0.00013 | $0.00227 |
| Sonnet 5 | $0.00005 | $0.00091 |
| Haiku 4.5 | $0.00003 | $0.00045 |
Grade A, and why
yagni 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 3d 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.
What it actually says
YAGNI (You Aren't Gonna Need It)
The Principle
Build the thing you need today. Not the thing you might need tomorrow.
Every line of speculative code has a cost: it must be understood, tested, maintained, and debugged. Code you don't write has zero bugs.
Common Violations
"Just in case" abstractions
"Let's make this a plugin system in case we need to swap implementations."
You don't have a second implementation. Build for the one you have. Refactoring later is almost always cheaper than maintaining an abstraction you don't need yet.
Premature configurability
"Let's make the retry count configurable."
Hardcode it. If someone actually needs to change it, you'll make it configurable then — in 5 minutes. Until then, a config option is a decision you're forcing on every deployer.
Speculative generalization
"This handles orders, but let's make it handle any entity."
You have orders. Build for orders. When you get a second entity type, you'll understand the actual commonalities (not the ones you imagined).
Premature optimization
"Let's add caching in case this is slow."
Measure first. Most performance intuitions are wrong. Optimize when you have evidence, not anxiety.
How to Apply
Before building something, ask:
- Do I need this to ship the current feature? If no, don't build it.
- Am I solving a real problem or an imagined one? Real problems have evidence.
- What's the cost of adding this later vs now? Usually negligible. The code will be better because you'll understand the actual requirements.
YAGNI Is Not "Never Refactor"
YAGNI says don't build features you don't need. It does not say write sloppy code. Clean code, good names, small functions, and tests are always needed — they serve today's requirements.
The goal: code that does exactly what's needed, no more, no less, and is easy to change when actual new requirements arrive.
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.
- 3d ago First seen · 49 lines · 26 tokens per session scan A 831002d5f572
yagni is a skill published in the GitHub repository 5uck1ess/devkit (5 stars, last pushed 14d ago), licensed MIT. It adds 26 tokens to every session and 454 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.
Other skills, from other repositories
dynamic-workflows
Ultracode / Max-Parallel mode — dynamic workflows fan work out across tens–hundreds of adversarially-verified parallel subagents for large, decomposable jobs (codebase-wide audits, big migrations, cross-checked research). Opt-in; higher token spend.
agent-teams
Experimental Agent Teams orchestration — run CCGodMode agents as parallel teammates with SharedTaskList coordination (requires CLAUDECODEEXPERIMENTALAGENTTEAMS=1).
cost-efficiency
Smart Routing — the DEFAULT CCGodMode routing policy. Risk-based, minimal-agent paths that preserve required safety gates for the changed scope.
quality-gates
Parallel quality gate orchestration — @validator and @tester run simultaneously after @builder, with mandatory decision matrix for pass/fail routing.
sprint-planning
Plan-first orchestration (ADR-004): comprehensive PLAN.md, sprint files with write-scope ownership, preflight checks, serialized integration, and the release sprint. Use for any non-trivial or multi-part request BEFORE dispatching agents.
workflows
CCGodMode Full-Gates workflow definitions — used for high-risk work and when Smart Routing escalates. Default routing is Smart Routing (skills/cost-efficiency/).