maintain

maintain is a skill for Claude Code, Codex from YangFan-Code-Star/context-dev. It costs 100 tokens per session (797 once invoked), scanned A, original, MIT.

A lightweight workflow for keeping a small or medium project's agent instructions and planning documents current. It checks AGENTS.md and project plans against the repository, merges useful task notes, and removes obsolete content.

In plain words
What is it for?
Use it when a project reaches a stopping point, documentation needs updating, or docs/log.md contains notes to merge. It helps refresh commands, directory maps, project plans, and current status.
Why use it?
Project documentation can become misleading when commands, directories, or technical choices change. This workflow keeps facts, plans, decisions, and temporary lessons in the appropriate files.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions AGENTS.md.

Good fit Use it when a project reaches a stopping point, documentation needs updating, or docs/log.md contains notes to merge. It helps refresh commands, directory maps, project plans, and current status.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yangfan-code-star/context-dev/maintain
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 YangFan-Code-Star/context-dev --skill maintain
Clone the repo
git clone --depth 1 https://github.com/YangFan-Code-Star/context-dev

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 maintain

README.md
[![agentmods](https://agentmods.dev/badge/skills/yangfan-code-star/context-dev/maintain/github.svg)](https://agentmods.dev/skills/yangfan-code-star/context-dev/maintain)
Your own site
<a href="https://agentmods.dev/skills/yangfan-code-star/context-dev/maintain"><img src="https://agentmods.dev/badge/skills/yangfan-code-star/context-dev/maintain/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 maintain

Your own site · 80×15
<a href="https://agentmods.dev/skills/yangfan-code-star/context-dev/maintain"><img src="https://agentmods.dev/badge/skills/yangfan-code-star/context-dev/maintain.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 100 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 797 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.
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 $0.00100 $0.00797
Opus 5.5 $0.00040 $0.00319
Sonnet 5.5 $0.00020 $0.00159
Haiku 4.5 $0.00010 $0.00080

Measured 1mo ago against content hash 0b0a3940d29c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

maintain 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 1mo 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.

lite/skills/maintain/SKILL.md · 65 lines

What it actually says

维护上下文(轻量)

轻量项目没有 audit-context.mjs,但同样可以长期迭代:上下文量小,直接读文件核对就够了。四步,十分钟以内。

流程

- [ ] 1. 核对事实
- [ ] 2. 合并任务日志
- [ ] 3. 删过期内容
- [ ] 4. 更新当前状态

1. 核对事实

把 AGENTS.md 逐行对照真实仓库:

  • 快速上手与验证命令:真的跑一遍,不是看一遍。
  • 目录地图:对照实际顶层目录。
  • 铁律:还成立吗?换掉的技术要删掉对应规则。
  • docs/plan.md:一句话、成功标准、口径还符合用户现在的意图吗?

发现不一致就改文件,不要迁就文件。

2. 合并任务日志

逐条处理 docs/log.md「待合并」下的条目。先问一句:模型本来就猜得到吗? 猜得到就直接删。

  • 稳定的事实、口径、决定 → 合并进 docs/plan.md 或 AGENTS.md,删掉日志条目。
  • 只出现一次的纠正 / 流程 → 留在日志里,等第二次出现再晋升。
  • 违反后果不可逆或不可发现的高风险规则 → 立即升级为 AGENTS.md 铁律,删掉条目。
  • 已确认但只属于一次性环境的坑 → 在日志里保留现象,不要升级成铁律。

3. 删过期内容

过期的规则比没有规则更糟。 优先删:换掉的技术对应的规则、已经写进代码结构不必再说的约定、当时怕出错但从没出过错的叮嘱、模型本来就知道的通用建议。

4. 更新当前状态

把 docs/plan.md「当前任务与下一步」更新到本次维护后的最新状态;AGENTS.md「当前状态」只写一行指针,细节留在 plan.md。

汇报

## 维护结果
- 已核对的命令 / 目录:<哪些,结果如何>
- 已合并:<日志条目> → <目标位置>
- 已删:<过期内容及原因>
- 需要你确认:<有分歧的条目>

新增内容放哪

内容性质 位置
每次对话都要遵守 AGENTS.md 铁律
背景、口径、计划 docs/plan.md
决定、坑、待观察纠正 docs/log.md
重复性多步流程 新建 .agents/skills/<name>/SKILL.md,并登记进 AGENTS.md「可用技能」
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. 1mo ago First seen · 65 lines · 100 tokens per session scan A 0b0a3940d29c

Subscribe to this mod's changes

maintain is a skill published in the GitHub repository YangFan-Code-Star/context-dev (2 stars, last pushed 2mo ago), licensed MIT. It adds 100 tokens to every session and 797 once invoked, about $0.0004 per session on Opus 5.5. 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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