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/jh941213/codex-lattice/techdebtnpx skills add jh941213/codex-lattice --skill techdebtgit clone --depth 1 https://github.com/jh941213/codex-latticeWrote 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.
[](https://agentmods.dev/skills/jh941213/codex-lattice/techdebt)<a href="https://agentmods.dev/skills/jh941213/codex-lattice/techdebt"><img src="https://agentmods.dev/badge/skills/jh941213/codex-lattice/techdebt.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00087 | $0.00571 |
| Opus 5 | $0.00044 | $0.00285 |
| Sonnet 5 | $0.00017 | $0.00114 |
| Haiku 4.5 | $0.00009 | $0.00057 |
Grade A, and why
techdebt 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 5d 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
기술 부채 정리
세션 종료 전 코드베이스의 기술 부채를 찾아 정리합니다.
검사 항목
1. 중복 코드
- 유사한 함수/로직이 여러 파일에 있는지 확인
- 공통 유틸리티로 추출 가능한 코드 식별
2. 사용하지 않는 코드
- 사용하지 않는 import 문
- 사용하지 않는 변수/함수
- 주석 처리된 코드 블록
3. 디버그 코드
- console.log / console.error
- debugger 문
- 임시 주석 (// TODO, // FIXME, // HACK, // XXX)
4. 코드 품질
- any 타입 사용 (TypeScript)
- 하드코딩된 값 (매직 넘버/스트링)
- 너무 긴 함수 (50줄 초과)
- 깊은 중첩 (4단계 초과)
검사 명령어
# console.log 찾기
grep -r "console\." --include="*.ts" --include="*.tsx" src/
# TODO 주석 찾기
grep -rn "TODO\|FIXME\|HACK\|XXX" --include="*.ts" --include="*.tsx" src/
# any 타입 찾기
grep -rn ": any" --include="*.ts" --include="*.tsx" src/
출력 형식
## 기술 부채 리포트
### 중복 코드 (3건)
- src/utils.ts:formatDate ↔ src/helpers.ts:formatDateTime
### 사용하지 않는 import (12건)
- src/components/Button.tsx: React (unused)
### 디버그 코드 (5건)
- src/api/auth.ts:23 - console.log
### 코드 품질 이슈 (8건)
- src/services/user.ts:45 - any 타입 사용
총 28건의 기술 부채가 발견되었습니다.
자동 수정을 진행할까요? (Y/n)
자동 수정 범위
- 사용하지 않는 import 제거
- console.log/debugger 제거
- 중복 코드는 리포트만 (수동 확인 필요)
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.
- 5d ago First seen · 72 lines · 87 tokens per session scan A 2c1951fcc44a
techdebt is a skill published in the GitHub repository jh941213/codex-lattice (19 stars, last pushed 3mo ago), licensed MIT. It adds 87 tokens to every session and 571 once invoked, about $0.0004 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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