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/codeaholicguy/ai-devkit/simplify-implementationnpx skills add codeaholicguy/ai-devkit --skill simplify-implementationgit clone --depth 1 https://github.com/codeaholicguy/ai-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 | $0.00061 | $0.00974 |
| Opus 5 | $0.00030 | $0.00487 |
| Sonnet 5 | $0.00012 | $0.00195 |
| Haiku 4.5 | $0.00006 | $0.00097 |
Grade A, and why
simplify-implementation 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Simplify Implementation Assistant
Reduce complexity with an analysis-first approach before changing code.
Hard Rules
- Do not modify code until the user approves a simplification plan.
- Readability over brevity. Some duplication beats the wrong abstraction.
- Prefer reusing an existing function over introducing a new one — but only if it fits cleanly. Do not force-fit a near-match.
- Before improving code, ask whether the function, abstraction, dependency, or custom logic needs to exist at all.
- Prefer platform and standard-library features over custom code or dependencies. Use already-installed dependencies when they cleanly solve the problem; do not add a dependency for logic that is only a few clear lines.
- For breaking changes: modify in place only when all callers are in-repo and updated in the same change. For public/external APIs, add a new function and deprecate the old one (parallel change).
- Delete or inline before adding: remove dead code, one-caller wrappers, redundant guards, stale tests, and unused configuration first.
Workflow
- Gather Context
- Confirm targets, pain points, and constraints (compatibility, API stability, deadlines).
- Search for past simplification decisions or known constraints:
npx ai-devkit@latest memory search --query "<target area>" --tags "simplify"
- Analyze Complexity
- Identify sources (nesting, duplication, coupling, over-engineering, magic values).
- Run an existence check: can this code be deleted, delegated to the standard library, handled by a native platform feature, enforced by the database, or covered by an existing dependency?
- Apply the existence check to tests and scaffolding: remove stale, duplicate, implementation-detail-only, unused, or no-longer-relevant tests, assertions, and fixtures without unique behavioral coverage.
- Apply the reader-load test: can a new reader answer where key values come from and what can change them quickly? Count needless layers and hidden mutable state.
- Assess impact (LOC, dependencies, cognitive load, boundary leakage, scalability blockers).
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- yesterday First seen · 71 lines · 61 tokens per session scan A cd1f5ec459d7
simplify-implementation is a skill published in the GitHub repository codeaholicguy/ai-devkit (1,601 stars, last pushed 2d ago), licensed MIT. It adds 61 tokens to every session and 974 once invoked, about $0.0003 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.
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