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kol-writer

kol-writer is a skill for Claude Code, Codex from cafe3310/public-agent-skills. It costs 20 tokens per session (1,288 once invoked), scanned A, original, Apache-2.0.

A writing workflow for turning scattered ideas, source material, and research into a structured outline for a social-media or other creator article. It also organises the writer’s source and outline files in a project folder.

In plain words
What is it for?
It helps collect the topic, platform, style, goal, and examples; record ideas; identify research gaps; research missing details; revise the outline with the user; and archive the approved version.
Why use it?
Unsorted ideas are difficult to shape into a coherent article, and missing information may only become visible late in the process. Iterative notes, research, and review provide a clear path from rough input to a final outline.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 253repo 2mo ago A scan SkillSpector: pass 20 tokens original Apache-2.0

Good fit It helps collect the topic, platform, style, goal, and examples; record ideas; identify research gaps; research missing details; revise the outline with the user; and archive the approved version.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cafe3310/public-agent-skills/kol-writer
View source ↗ cafe3310/public-agent-skills
Install

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.

Any agent
npx skills add cafe3310/public-agent-skills --skill kol-writer
Clone the repo
git clone --depth 1 https://github.com/cafe3310/public-agent-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for kol-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/kol-writer/github.svg)](https://agentmods.dev/skills/cafe3310/public-agent-skills/kol-writer)
Your own site
<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/kol-writer"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/kol-writer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for kol-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/kol-writer"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/kol-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,288 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00020 $0.01288
Opus 5 $0.00010 $0.00644
Sonnet 5 $0.00004 $0.00258
Haiku 4.5 $0.00002 $0.00129

Measured 12d ago against content hash f22433352ab7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

kol-writer 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 12d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/eval.py, sub-skills/deep-research/scripts/check_saturation.py, sub-skills/deep-research/visualizer/server.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/kol-writer/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

kol-writer: 自媒体大纲梳理与语料管理

⚠️ 内置子技能 (Sub-skills) 加载路径 本技能包含三个依赖子技能，存放在本地 sub-skills/ 目录：

  • deep-research ──→ 位于 sub-skills/deep-research/
  • markdown-new ──→ 位于 sub-skills/markdown-new/
  • agent-browser ──→ 位于 sub-skills/agent-browser/

必须且只能从相对路径 sub-skills/ 下读取其 SKILL.md，严禁访问全局技能根目录以防冲突。

本技能用于协助创作者，将零散想法、原始素材与检索信息整理为结构化大纲，并归档个人写作资产。

1. 核心流程：大纲梳理与迭代

graph TD
    AI_Ask["1. 询问基本信息<br>(主题/平台/风格/目标)"] --> U_Answer["2. 用户提供信息"]
    U_Answer --> AI_Init["3. 初始化工作区<br>(创建目录并保存原始输入)"]
    AI_Init --> AI_Note["4. 对话式观点速记<br>(仅记录事实，不做推理)"]
    AI_Note --> AI_Eval["5. 结构化大纲梳理<br>(输出初版大纲并标注调查项)"]
    AI_Eval --> AI_Research["6. 补充检索与回填<br>(针对大纲缺失信息执行检索)"]
    AI_Research --> Loop_Iter{"7. 对话修改与调优<br>(反馈微调)"}
    Loop_Iter -->|未完善| Loop_Iter
    Loop_Iter -->|用户确认| AI_Write["8. 终稿归档<br>(写入 03-大纲终稿.md)"]

1.1 阶段一：初始化工作区

  • 1. 询问基本信息：Agent 主动向用户确认五个维度：主题、发布平台、写作风格、预期目标以及参考样例。
  • 2. 用户提供信息：用户针对提问提供输入。
  • 3. 初始化工作区：创建独立的写作工作目录，将输入保存为 01-用户原始输入.md。详见：01_initialize_project.md

1.2 阶段二：观点速记

  • 4. 观点速记：以对话形式记录用户的观点。Agent 需将用户输入保存到 02-用户想法记录.md 中，作为大纲整理和文风模仿的素材。详见：02_quick_notes.md

1.3 阶段三：大纲整理与检索

  • 5. 结构化大纲梳理：速记结束后，Agent 检索并调用 rules/platforms.md 中对应的平台规范，结合已有想法提炼论点，输出初版大纲。大纲中需使用引用块（>）标注待调查或补充的事项。详见：03_understanding_prompt.md
  • 6. 补充检索与回填：针对大纲中标注的待调查项制定检索计划。等待用户确认计划并选定方案后，运行检索工具将结果填入大纲。详见：04_deep_research.md

1.4 阶段四：大纲微调

  • 7. 迭代优化：根据用户反馈持续修改大纲，更新并覆盖 03-大纲草稿.md，直到用户确认满意。详见：05_iteration_optimization.md

1.5 阶段五：终稿归档

  • 8. 终稿归档：将最终大纲写入 03-大纲终稿.md，输出简短的总结和下一步行动建议。详见：06_archive_final.md

2. 交互规范

2.1 交互询问工具 (ask_user / ask_question) 优先

当执行环境支持 ask_question 或 ask_user 时，Agent 在关键决策点必须优先调用对应工具，避免使用纯文本交互。

应用场景：

  1. 初始确认 (Step 1)：选择发布平台、文风及参考样例。
  2. 大纲侧重确认 (Step 5)：确认大纲的方向偏好或调性选择。
  3. 检索方案确认 (Step 6.1)：确认检索计划并选择网页访问方案（如 markdown-new 或 agent-browser）。

Read the full file on GitHub · 74 lines

Files

What ships with it

56 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.

Changes

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.

  1. 12d ago First seen · 74 lines · 20 tokens per session scan A f22433352ab7

Subscribe to this mod's changes

kol-writer is a skill published in the GitHub repository cafe3310/public-agent-skills (253 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 1,288 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 2026-08-30.

Marketing and SEOWriting and docsagent-skill-repositorygemini-cliskills
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