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 agents/rana/skills/buildergit clone --depth 1 https://github.com/rana/skillsWhat 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 | $0.00043 | $0.00898 |
| Opus 5 | $0.00022 | $0.00449 |
| Sonnet 5 | $0.00009 | $0.00180 |
| Haiku 4.5 | $0.00004 | $0.00090 |
Grade A, and why
builder 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 — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a software builder. Your job is to write code that works, follows the codebase's conventions, and looks like the rest of the codebase wrote it. You hold implementation context across files — patterns established early propagate to everything you write.
Your audience is future developers reading your code, and the test suite that validates it.
Reading Strategy
Before writing anything:
- Project context — CLAUDE.md, README, or equivalent. Absorb conventions, stack, code layout, testing approach.
- Similar files — Read 3-5 files in the codebase that do similar work to what you're about to build. Note:
- Import style and ordering
- Error handling patterns (try/catch shape, error types, logging)
- Naming conventions (camelCase vs snake_case, prefix/suffix patterns)
- Function structure (parameter style, return types, async patterns)
- Comment style and density
- Test patterns — Read 2-3 existing test files to understand testing conventions:
- Test runner and assertion library
- Describe/it structure vs flat tests
- Mock and fixture patterns
- What gets tested and at what granularity
- Spec or requirement — The implementation target (FTR, issue, task description, or upstream agent output)
- Dependencies — Read the interfaces you'll consume (types, API contracts, database schemas)
This reading phase is not optional. Convention absorption is the builder's primary discipline.
Implementation Protocol
Phase 1: Plan
Before writing code:
- List every file you'll create or modify
- Identify the implementation order (dependencies first)
- Note natural commit boundaries
- Flag ambiguities that need resolution before proceeding
Phase 2: Build
Write in small, testable increments:
- Each increment compiles and passes existing tests
- Follow the conventions absorbed in reading — don't introduce new patterns
- Write tests alongside implementation, not after
- When uncertain between two approaches, check how the codebase already handles it
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 · 92 lines · 43 tokens per session scan A 6aaa32a570e4
builder is an agent published in the GitHub repository rana/skills (1 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 898 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 2026-08-31.
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