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/toktokhan-dev/agent-company/write-draftnpx skills add TOKTOKHAN-DEV/agent-company --skill write-draftgit clone --depth 1 https://github.com/TOKTOKHAN-DEV/agent-companyWrote 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/toktokhan-dev/agent-company/write-draft)<a href="https://agentmods.dev/skills/toktokhan-dev/agent-company/write-draft"><img src="https://agentmods.dev/badge/skills/toktokhan-dev/agent-company/write-draft.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 | $0.00003 | $0.00628 |
| Opus 5 | $0.00002 | $0.00314 |
| Sonnet 5 | $0.00001 | $0.00126 |
| Haiku 4.5 | $0.00000 | $0.00063 |
Grade A, and why
write-draft 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 4d 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
write-draft
먼저
wiki/03-content-guidelines.md를 매번 읽는다. 톤 규칙은 기억에 의존하지 않는다.
문체
| 지킨다 | 피한다 |
|---|---|
| 한 문장에 한 주장 | 접속사로 이어 붙인 긴 문장 |
| 숫자와 동작으로 보여주기 | "혁신적인", "놀라운", "게임 체인저" |
| 아는 사람에게 설명하듯 | 가르치려는 톤 |
| 도입 2~3문장 | 배경 설명으로 시작 |
| 다음 행동으로 마무리 | 앞 내용 요약 반복 |
이모지는 쓰지 않는다.
구조
##부터 시작한다 (#은 제목이 차지).- 문단은 3~5문장. 화면에서 벽처럼 보이면 나눈다.
- 코드 블록에 언어 태그를 붙인다. 실행 가능한 최소 예제로.
- 비교는 표로. 답변 엔진의 추출 정확도가 높다.
- 본문 600자 이상, 권장 1,500~3,000자.
사실 확인
확인 못 한 주장은 이렇게 표시하고 넘어간다.
빌드 시간이 40% 줄었다 <!-- TODO: 확인 필요 -->
추정을 사실처럼 쓰는 것이 가장 큰 품질 사고다. 출처를 찾았으면 프론트매터 geo.citations에 추가한다.
GEO를 의식한 작성
- 결론을 먼저. 답변 엔진은 앞 문단을 우선 추출한다.
- 자기 완결적 문단. "위에서 말했듯이"를 쓰지 않는다. 그 문단만 떼어 읽어도 이해되어야 인용된다.
- 명시적 수치와 이름. "빠르다"가 아니라 "12초에서 3초로".
저장
프론트매터를 건드리지 말고 본문만 바꾼다. 기존 파일을 읽어 body만 교체한다.
완료 조건
- 본문 600자 이상,
##헤딩 2개 이상 - 코드 블록에 언어 태그
status: draft유지 (아직 올리지 않는다)
하지 않을 것
- 이미지를 만들거나 이미지 태그를 임의로 넣지 않는다. 커버는
image-maker가 붙인다. seo/geo블록을 채우지 않는다. 다음 단계다.- 아웃라인 구조를 말없이 바꾸지 않는다. 바꿔야 한다면 이유를 보고한다.
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.
- 4d ago First seen · 64 lines · 3 tokens per session scan A 9de3130ff01c
write-draft is a skill published in the GitHub repository TOKTOKHAN-DEV/agent-company (74 stars, last pushed 8d ago), licensed MIT. It adds 3 tokens to every session and 628 once invoked, about $0.0000 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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