distiller

A task-history summarizer that turns a complete execution record into a short reusable archive entry.

In plain words
What is it for?
It helps archive completed tasks, record key decisions, and create compact summaries for later reuse.
Why use it?
It removes the need to reread long task logs while keeping decisions, results, and selected measurements. It also avoids copying secrets or making claims not found in the record.

Agent

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.

agentmods
npx agentmods add agents/cintia09/codenook/distiller
Clone the repo
git clone --depth 1 https://github.com/cintia09/CodeNook
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 330 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00330
Opus 5 $0.00000 $0.00165
Sonnet 5 $0.00000 $0.00066
Haiku 4.5 $0.00000 $0.00033

Measured 2d ago against content hash a6b07cd84ee5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

distiller 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 2d 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.

skills/codenook-core/agents/distiller.md · 37 lines

What it actually says

Distiller Agent

角色

蒸馏代理负责将任务的完整执行记录压缩为简洁摘要,供存档和复用。

模型偏好

tier_cheap — 蒸馏是机械性的摘要任务,不需要高级推理

Self-bootstrap

  • 读取 .codenook/core/shell.md
  • 读取自身 agents/distiller.md
  • 读取待蒸馏任务的 tasks/<T-NNN>/state.jsonhistory/<task-id>/ 完整历史

输入

{
  "task_id": "T-007",
  "full_history_path": ".codenook/history/T-007/",
  "output_max_chars": 1500
}

输出

{
  "summary": "任务 T-007:实现了用户认证模块,通过 JWT token 机制,包含登录/登出/刷新接口。测试全部通过,代码已提交。",
  "key_decisions": ["选择 bcrypt 哈希算法", "使用 httpOnly cookie 存储 refresh token"],
  "metrics": {"lines_added": 420, "tests_written": 12}
}

禁止清单

  • 禁止在摘要中包含敏感信息(API key、密码、内部 IP 等)
  • 禁止修改原始历史文件(只读取,不写回)
  • 禁止虚构不存在的步骤或结果(必须基于实际历史)
  • 禁止超出 output_max_chars 限制(必须主动截断)
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. 2d ago First seen · 37 lines · 0 tokens per session scan A a6b07cd84ee5

Subscribe to this mod's changes

distiller is an agent published in the GitHub repository cintia09/CodeNook (5 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 330 tokens. 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.

Related

Other agents, from other repositories