repo-context-ledger
Maintain durable, evidence-based repository context whenever an agent initializes a repository, implements or fixes behavior, refactors code, changes an interface, checkpoints or switches tasks, resumes or hands work to another AI tool, collaborates across parallel task sessions,
供给资产档案
研究与知识工作
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
场景
研究 Agent
I need my agent to research a topic, compare sources, and produce a concise report.
适配 Agent
Claude Code + OpenAI Agents + Cursor
适用于 Codex、Claude Code、Cursor、CLI 或自定义 Agent。
安装
就绪
npx skills add gviiisen/repo-context-ledger --skill repo-context-ledger
维护状态
新鲜
距上次推送 2 天
风险
高风险
Permission surface may require sandboxing
GitHub 质量
72
65/100 质量 · 69/100 信任
覆盖标签
审查说明
Permission surface may require sandboxing · Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
Agent 采用评分卡
一眼查看信任、审计与安装准备度
这些分数综合公开仓库元数据、OpenAgentSkill 审查信号、维护新鲜度与安装准备度。它用于候选筛选,不替代人工审查。
质量
有潜力有用的候选项,但采用前应与替代方案比较。
信任
仅限沙盒有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
审计
高风险对安装准备度、安全元数据、维护情况与采用风险的机器可读审查。
OpenAgentSkill 信任评分 v5
仅限沙盒
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
Stars
72 个 GitHub Stars
仓库活跃度
72 个 Star,0 个 Fork
维护状态
距上次推送 2 天
许可证
MIT
安装
npx skills add gviiisen/repo-context-ledger --skill repo-context-ledger
安装安全性
标准软件包或运行时安装路径
权限范围
shell or command execution, filesystem or document access
Agent 结果
暂未有 Agent 结果数据
文档
README/SKILL.md 上下文充分
风险摘要
生产前审查
- The SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
安装准备度
安装路径可用
- 安装路径可用
- 仓库证据可用
- 已声明许可证
- 暂无 Agent 验证结果证据
Agent 可读元数据
这个 Skill 的机器可读决策数据。
使用此区块或内嵌 JSON 判断 Agent 是否应安装该 Skill、选择替代方案,或先请求人工审查。
适用任务
- 研究 Agent 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
- 检索来源
适用 Agent
安装决策
- 命令
- npx skills add gviiisen/repo-context-ledger --skill repo-context-ledger
- 策略
- 阻止
- 人工审查
- 是
信任与风险
- 信任
- 61/100
- 审计
- 76/100
- 风险级别
- 高风险
结果闭环
- 端点
- /api/agent/outcome
- 事件 ID
- resolve
- 结果
- 5
不适用场景
- 需要厂商支持 SLA 的团队
- production agents without a repository review
- The SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
- Audit risk risky exceeds max_risk=medium
- 高风险权限提示:Shell 或命令执行
替代 Skill
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
替代 Skill
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
替代 Skill
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
替代 Skill
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Agent 安全 v2
40/100 · 避免自动安装
This skill should not be selected by an agent without explicit human security review.
Do not auto-install. Inspect the source, dependencies, and permission surface first.
高
Shell 或命令执行
Skill 元数据引用了终端、CLI、Shell、子进程或命令执行工作流。
中
Browser automation
Skill may drive a browser or interact with web pages.
中
网络访问
Skill 可能访问远程页面、API、仓库或外部服务。
中
文件系统访问
Skill 可能读取或写入项目文件、文档、生成产物或本地工作区状态。
- Audit risk risky exceeds max_risk=medium
- 高风险权限提示:Shell 或命令执行
- Permission surface may require sandboxing
安装目标
在你的 Agent 工作流中安装此 Skill
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
OpenAgentSkill CLI
Resolve policy, run the source installer safely, and report a verified install receipt.
$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install gviiisen-repo-context-ledgerAgent 解析计划
让 Agent 在安装前验证匹配度。
Resolve API 返回首选 Skill、替代方案、安全策略、审计说明、安装目标和可直接执行的提示词,无需抓取此页面。
打开 JSON
/api/agent/resolve?task=Use%20repo-context-ledger%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 文本
/api/agent/resolve?task=Use%20repo-context-ledger%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
安装交接
/api/skills/gviiisen-repo-context-ledger/install
Agent 应检查
- 从 Resolve API 检查任务匹配与替代方案。
- 检查审计评分、信任评分和安全策略警告。
- 检查 Codex、Claude Code、Cursor 或 CLI 的安装目标兼容性。
复制提示词
Task: Use repo-context-ledger in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20repo-context-ledger%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gviiisen-repo-context-ledger/install
Install command: npx skills add gviiisen/repo-context-ledger --skill repo-context-ledger
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent 交接
把安装路径交给 Agent,而不是再给一个目录页。
通过公开安装端点获取命令、安全清单、目标提示词和该 Skill 的规范链接。
安装交接
/api/skills/gviiisen-repo-context-ledger/install
LLM 文本格式
/api/skills/gviiisen-repo-context-ledger/install?format=text
寻找替代方案
/api/skills/search?q=repo-context-ledger&limit=3
Agent 提示词
Use repo-context-ledger for this task. Review https://www.openagentskill.com/api/skills/gviiisen-repo-context-ledger/install, then install with: npx skills add gviiisen/repo-context-ledger --skill repo-context-ledgerRegistry 元数据
用于自动选择 Skill 的 Agent 可读档案。
本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。
Agent 决策面板
Fallback candidate for Research agents
先用此 Skill 做原型验证,并保留备选方案。
栈中角色
备选候选
主要匹配
研究 Agent
信任标签
先做原型验证
安装路径
命令已就绪
适用场景
- 研究 Agent 工作流
- Claude Code 团队
- builders willing to evaluate younger projects
证据
- 仓库近期活跃
- 已提供安装命令或 GitHub 仓库
- 65/100 质量档案
- 9 个 OpenAgentSkill 交互事件
先审查
- The SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
实施路径
- 1在沙盒 Agent 中安装它,并端到端完成一次研究 Agent任务。
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
信任档案
仅限沙盒
有用但信任信号不足或混杂的候选项。在结果闭环证明任务匹配前,请保持在隔离工作区内使用。
GitHub 采用度
检查72 个 GitHub Stars
Star/Fork 活跃度
检查72 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息
近期维护
通过距上次推送 2 天
许可证清晰度
通过MIT
积极信号
- AI 审查已通过
- 安装路径可用
- 仓库证据可用
- 近期维护的仓库
- 安装命令未发现明显高风险模式
- 结果闭环已就绪,但需要首次真实 Agent 运行
安装前审查
- The SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 72 GitHub stars
- Stars/forks activity: 72 stars, 0 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- 暂未有真实 Agent 结果报告
- 无人值守安装前需要人工审查
建议操作
仅在沙盒中运行,并在用于真实工作前比较接近的替代方案。
质量档案
有潜力 适用于 Agent 工作流的候选
有用的候选项,但采用前应与替代方案比较。
工作流匹配
在这些场景使用此 Skill
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
工作流匹配
加入完整工作流
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
替代方案短名单
安装前对比
可能适合该任务的相近 Skill。
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
概览
--- name: repo-context-ledger description: Maintain durable, evidence-based repository context whenever an agent initializes a repository, implements or fixes behavior, refactors code, changes an interface, checkpoints or switches tasks, resumes or hands work to another AI tool, collaborates across parallel task sessions, Git branches, or worktrees, prepares a pull request, or completes a coding task. Use this skill to bridge Codex, Claude, Cursor, GitHub Copilot, Grok, and other coding agents through native instruction adapters, private session-isolated handoff drafts, atomic completed-change publication, a shared Context Manifest, language-aware Context Packs, stable feature specifications, verified change history, coverage gates, and managed README summaries without asking the user to run bookkeeping commands. ---
# Repo Context Ledger
Keep repository knowledge current across AI tools and fresh conversation windows. Treat semantic documentation as part of completing code work, while using the bundled deterministic runtime for paths, native adapters, the Context Manifest, indexes, links, README blocks, and validation. Never attempt to read or synchronize private vendor Memory; promote only code-verified facts into Git-tracked context.
## Locate the runtime
Resolve the directory containing this `SKILL.md`. The bundled runtime is `scripts/ledger.py` relative to that directory.
After initialization, prefer the repository-local copy:
```text python .context-ledger/ledger.py <command> ```
Use `python3` instead of `python` when that is the available interpreter.
`--repo` is optional. If omitted, the runtime walks up from the current directory to the nearest `.context-ledger/config.json`, and stops at a nested Git repository boundary.
## Choose the shortest path
Do not run the full lifecycle for every request.
- **Read-only understanding**: `context --query "<task>"`, then `focus --feature "<feature>"`. Do not `start` a session. - **Single-task small fix**: `status` → `start --feature` → implement → `verify -- <command>` → `finish --spec`. `finish` records evidence automatically when this is the only session. If the worktree is large or another session exists, pass `evidence --path`. - **Parallel tasks**: pass `--session <id>` on every lifecycle command. Capture evidence with repeated `--path` values for only this task. - **Medium or large change**: also refresh the related Context Pack, update the stable spec, and write Before/After evidence before `finish`.
`context` returns one primary Context Pack, its linked specs, and why it was chosen. Read that Pack's load order before scanning the rest of the repository.
## Initialize a repository
When the user asks to initialize, adopt, or configure repository context documentation:
1. Run `python <skill-dir>/scripts/ledger.py --repo <repository-root> init --dry-run` and inspect the exact planned files, managed blocks, migrations, and detected modules. The preview must remain read-only. 2. If the plan matches the user's requested repository scope, run the same command without `--dry-run`. Do not hand-recreate or selectively replay the plan. 3. Inspect the generated `.context-ledger/config.json`, detected modules, and existing documentation. 4. Run `python .context-ledger/ledger.py adapters check` and `python .context-ledger/ledger.py manifest check` to confirm native entry files and the shared route index are current. 5. Set `quality.language` (`auto`, `en`, or `zh-CN`) and `quality.detail` (`concise`, `standard`, or `detailed`) only when the repository needs a non-default policy. 6. Preserve existing `AGENTS.md`, `CLAUDE.md`, `.github/copilot-instructions.md`, README content, and documentation. Only managed blocks or the dedicated Cursor adapter may be regenerated. 7. Treat nested Git repositories and worktrees as discovery boundaries. When adopting legacy `docs/changes/YYYY-MM/...` trees, preserve and reuse an existing monthly `index.md`; remove an obsolete index only when the runtime can reproduce the whole file byte-for-byte from current sibling records. 8. Summarize what was added. Do not require the user to learn internal lifecycle commands.
Read [document-model.md](references/document-model.md) when choosing where information belongs or migrating an existing documentation layout.
## Complete behavior-changing work
Apply this workflow autonomously when code behavior changes. Follow [Choose the shortest path](#choose-the-shortest-path). Do not ask the user to run ledger commands.
1. Run `python .context-ledger/ledger.py status`. Reuse only this task's private draft. Never adopt, pause, publish, or rewrite another task's draft. 2. Resolve the record language. Keep code identifiers in source form. 3. If this task will change behavior and has no session, `start --title "<title>" --feature "<feature>"`. Keep the session ID. When more than one task is active, pass `--session <id>`; omission must fail. 4. Route context, then read the primary Pack and its specs:
```text python .context-ledger/ledger.py context --query "<feature, interface, or module>" python .context-ledger/ledger.py focus --feature "<feature>" ```
If no Context Pack exists, create one with `pack --feature`, fill every semantic section, then focus it. 5. Implement the change. Record every claimed check with `verify --session <id> -- <command>`. Failed output is stored as a redacted failure capsule, never as a raw log. Persisted verification evidence replaces repository, Codex, temporary, and user-home roots with stable placeholders, including JSON-escaped Windows paths. If verification is unavailable, use `verify --not-run --reason "<substantive reason>"`. 6. For a small single-session fix, `finish` can collect evidence. If another session exists, or automatic collection finds too many implementation paths, run `evidence --path` for only this task. Read [.context-ledger/writing-quality.md](.context-ledger/writing-quality.md) and remove every `TODO`. Code paths may cite `file.go::Symbol`; the path part is matched against evidence. 7. On medium or large changes, refresh every related Context Pack after tracked production paths change, and update the stable spec when current behavior or contracts changed. 8. Finish with `finish --spec docs/specs/<feature>.md`, or `finish --no-spec --reason "<why>"`. `finish` validates only this session. 9. Run `check --strict --coverage` at integration or pull-request time, not to unblock a parallel session.
## Bridge native Agent entry points
Treat `docs/ai/`, `docs/specs/`, and `docs/changes/` as the vendor-neutral source. `AGENTS.md`, `CLAUDE.md`, `.cursor/rules/repo-context-ledger.mdc`, and `.github/copilot-instructions.md` are thin adapters only.
- Run `python .context-ledger/ledger.py adapters sync` after changing adapter policy or upgrading the runtime. - Run `python .context-ledger/ledger.py adapters check` before completion. - Run `python .context-ledger/ledger.py manifest sync` on the default branch when source documents were repaired manually; normal initialization and derived sync regenerate it automatically. - Prefer code and executed tests over stable specs, stable specs over Context Packs, and all Git-tracked ledger documents over private Agent Memory.
Active lifecycle commands leave formal change history, shared README blocks, and monthly indexes unchanged. `finish` publishes one completed change file; feature branches continue to defer shared derived indexes until merge.
## Collaborate through Git
The runtime supports multiple private task drafts in one worktree. It isolates bookkeeping only: it does not copy source files, create worktrees, claim paths, lock code, or merge code. In a shared worktree, each session records an explicit evidence path set and `finish` ignores unrelated session dirt. Leave source-edit concurrency and conflicts to the host Agent and Git.
Never send messages, delegations, follow-up prompts, or steering instructions to another user-owned task/thread unless the user explicitly requests cross-task coordination. The presence of another session, a foreign stale Pack, a failed global check, or a shared worktree is not permission to contact, pause, redirect, or interrupt it. Report an integration-stage conflict to the user without steering the other task.
Before opening or updating a pull request:
1. Fetch or otherwise update the intended base branch. 2. Run `python .context-ledger/ledger.py team-check --base <base-ref>`. 3. Resolve reported overlaps in code paths or feature handoffs with the other contributor. Rebase or merge the current base as appropriate, then refresh any stale Context Pack. 4. Run `python .context-ledger/ledger.py check --strict`.
After changes are merged, run this once on the configured default branch:
```text python .context-ledger/ledger.py sync --derived ```
This deterministically rebuilds monthly change indexes and managed root/module README summaries from committed source documents. Do not hand-edit generated indexes.
## Switch or resume context
Interpret natural-language requests such as "pause this and fix login," "continue the previous withdrawal task," or "hand this to another AI" as lifecycle instructions. Do not require command syntax from the user.
Before switching away from active work, record an accurate resume summary and concrete next step:
```text python .context-ledger/ledger.py checkpoint --summary "<completed work and current state>" --next "<next concrete action>" python .context-ledger/ledger.py pause --summary "<completed work and current state>" --next "<next concrete action>" ```
Use `checkpoint --session <id>` when another Agent or window will continue the same active task. Use `pause --session <id>` only when suspending that task; never manipulate another task's session.
Focus the target feature's Context Pack, then start its handoff when code behavior will change. Never abandon a different active handoff silently.
Resume the only paused task when it is unambiguous:
```text python .context-ledger/ledger.py resume ```
Resume a selected task when multiple sessions are paused:
```text python .context-ledger/ledger.py resume --session <id> ```
After resuming, read the handoff's resume fields, load its Context Pack, inspect dirty paths, and revalidate warnings about changed commits or stale fingerprints before editing code.
## Handle non-behavior work
For read-only analysis, questions, formatting-only edits, or tasks that do not change repository behavior, do not create a handoff. Read existing context as needed and leave the ledger unchanged.
## Recovery
- Run `python .context-ledger/ledger.py status` to inspect the current state. - Reuse an active draft only when its session ID belongs to the current task. - Start a separate private draft rather than pausing or overwriting another task. - When another session exists, capture evidence with repeated `--path` values for this task only; never adopt the entire shared dirty set. - Use `status` and `--session` lifecycle targeting; do not find or edit the Git-metadata state file manually. - Refresh a stale Context Pack with `pack` after inspecting the changed files. - Repair drifted native entry files with `adapters sync`; never copy private Agent Memory into the ledger as an unverified fact. - Run `python .context-ledger/ledger.py sync` after manually repairing documents or configuration. Add `--derived` on the default branch after merges.
## Writing rules
- Apply [writing-quality.md](references/writing-quality.md) to `evidence-v1` records. Preserve legacy records unless explicitly upgrading them. - Record current truth in `docs/specs/`, chronological evidence in `docs/changes/`, and minimal loading routes in Context Packs. - Keep unfinished drafts private. Publish each completed change into its own file and let the runtime build monthly indexes. - Keep the runtime-generated handoff ID, actor, and branch metadata. Unique filenames are intentional a
技术详情
- 版本
- 1.0.0
- 许可证
- MIT
- 最近更新
- 2026年8月21日
- 发布时间
- 2026年8月21日
决策摘要
备选候选
仓库近期活跃
Agent 验证证据
Agent 验证证据
来自解析、审查、安装和一次小范围运行后的结果报告。
- 成功率
- —
- 近期失败
- —
- 结果
- 0
- 输出质量
- —
- 失败
- 0
- 不相关
- 0
- 安装次数
- 0
- 风险拦截
- 0
- 需要配置
- 0
- 生产环境
- 0
暂时没有 Agent 结果数据。首次 Agent 执行可以通过 /api/agent/outcome 报告成功、需要设置、风险拦截、失败或不相关。
增长闭环
分享工具包
为 repo-context-ledger 准备的场景化草稿,可手动发布到 X。
repo-context-ledger: Maintain durable, evidence-based repository context whenever an agent initializes a repositor... 72 stars https://www.openagentskill.com/skills/gviiisen-repo-context-ledger?ref=x
可选:带安装命令的回复
Listing + install path for repo-context-ledger: https://www.openagentskill.com/skills/gviiisen-repo-context-ledger?ref=x Install: npx skills add gviiisen/repo-context-ledger --skill repo-context-ledger
收录来源
Registry 收录
此列表来自公开来源,维护者认领获批前不会标记为官方。
- 创作者
- gviiisen
- 收录方
- OpenAgentSkill 社区索引
归属链接指向公开仓库或创作者主页。创作者可认领列表以更新所有权信号。
认领此 Skill所有者认领
认领此 Skill 页面
这条 Registry 收录 列表归属于 gviiisen,但尚未标记为官方。认领后可增加已验证所有者信号,使后续发布、安装和审计更新更值得信赖。
创作者外链工具包
将证据徽章加入你的 README
在开发者评估仓库的位置展示规范页面、当前信任与审计信号,以及真实的 Agent 验证证据。
[](https://www.openagentskill.com/skills/gviiisen-repo-context-ledger)
[](https://www.openagentskill.com/skills/gviiisen-repo-context-ledger)
[](https://www.openagentskill.com/skills/gviiisen-repo-context-ledger/audit)
[](https://www.openagentskill.com/skills/gviiisen-repo-context-ledger)作者
gviiisen
@gviiisen
健康信号
- GitHub Stars
- 72
- 质量评分
- 36/100
- 最近 GitHub 推送
- 2026年8月21日
- 框架提示
- 未知
- OpenAgentSkill 浏览量
- 9
- 复制安装命令
- 0
- 跳转点击
- 0
社区信号
告诉我们这个 Skill 是否对你的 Agent 工作流有帮助。汇总反馈会持续改善排序。
信任与安全
仅限沙盒
- GitHub 采用度72 个 GitHub Stars检查
- Star/Fork 活跃度72 个 Star,0 个 Fork; 当前元数据中没有议题活跃度信息检查
- 近期维护距上次推送 2 天通过
- 许可证清晰度MIT通过
- README/SKILL.md 完整度元数据包含足够的用法与工作流上下文通过
- 依赖与运行时风险network or browser surface通过
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