Chalk Labs
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Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/snbc-qihang-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: backend, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/research
What's inside
- Skill name
research- Description
- 基于一手资料研究工程问题,并输出有引用、有边界的结论。适用于外部项目、API、标准或不熟悉的技术事实。
- License
- MIT
- Instructions
- 21 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- github-research.md · references/
SKILL.md (first lines)
本 skill 仅使用当前 `engineering-assistant` 的能力与 Runtime。平台已选本 skill 时直接执行,不重复路由或跨插件推进同一运行。 # 工程研究 收集证据前先定义问题和资料边界。优先使用一手资料,区分观察事实与推断,并报告可能改变决策的不确定性。 ## 操作流程 1. 写明准确问题和停止条件;若问题在受治理运行中出现,先创建 `InvestigationRequest`,说明资料范围、成本和证据要求。 2. 普通只读研究在用户已给出的资料范围内直接进行。只有受治理运行需要调研决策时才使用 `auto_readonly`、`suggest_then_run`、`guided` 或 `disabled`,复用范围及成本仍有效的已记录选择;缺少必要批准时只暂停该调研,不中止独立工作。 3. 根据结论类型检查权威文档、源码、测试和历史记录。 4. 在每项重要结论附近记录资料来源。 5. 受治理调研只登记满足 Runtime 返回的 `evidence_contract` 的宿主证据:subject digest 必须绑定当前问题、停止条件和证据要求,scope tag 必须落在当前获批资料范围内。 6. 比较相互矛盾的证据,不得用模糊平均掩盖冲突。 7. 达到问题的完成标准后交付结论、引用和边界;受治理调研另以已登记证据结束。证据不足时区分已证实内容与剩余缺口,只有受影响的结论或依赖动作保留阻断。 研究 GitHub 仓库时,在得出架构或生命周期结论前读取 [references/github-research.md](references/github-research.md)。 不得把流行度、README 声明或模拟结果当作实现证据。
From snbc-qihang/agent-skills, MIT.
More from snbc-qihang/agent-skills
- 0.586score
domain-modeling
snbc-qihang
在明确的限界上下文中建立统一语言、业务规则、生命周期及战略和战术模型。适用于语义冲突、业务规则复杂、聚合或一致性边界不清,以及代码与业务语言不一致的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.586score
engineering-assistant
snbc-qihang
将工程任务路由到最小充分的 skill 或受治理 flow。适用于请求跨越上下文、设计、实现、评审、发布或长期任务协调的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.586score
tdd
snbc-qihang
通过真实红绿反馈实现可测试的行为。适用于明确要求 TDD,或新增规则、缺陷修复适合失败测试驱动的场景;普通修改不自动触发。
SkillAFreshness: A★ 1Claude Code +9 - 0.583score
repo-context
snbc-qihang
基于源码证据梳理仓库模块、接口、数据、依赖、可复用能力和影响范围。适用于设计或大范围变更分析之前。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
decision-interview
snbc-qihang
在查明仓库事实后,与用户一起解决相互依赖的产品或设计决策。适用于范围、取舍或验收标准仍不明确的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
diagnosing-bugs
snbc-qihang
通过复现、最小化、可证伪假设、定向观测、修复和回归证据诊断疑难缺陷或性能退化。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
prototype
snbc-qihang
构建明确可丢弃的逻辑或界面原型,用于回答一个设计问题。适用于具体交互验证比继续抽象讨论成本更低的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
code-review
snbc-qihang
评审固定 diff、Pull Request 或阶段门禁,按仓库规范与需求识别有证据的问题。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
wayfinder
snbc-qihang
把大型或高不确定性工程任务整理为目标、当前前沿和待决策事项。适用于工作超过一次会话或尚不能安全切片的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
codebase-design
snbc-qihang
设计小接口、高杠杆、变更局部化的深模块和清晰 seam。适用于架构边界、可测试性或重构结构设计。
SkillAFreshness: A★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 19, 2026 (12 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/snbc-qihang/agent-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from snbc-qihang
- 0.586score
domain-modeling
snbc-qihang
在明确的限界上下文中建立统一语言、业务规则、生命周期及战略和战术模型。适用于语义冲突、业务规则复杂、聚合或一致性边界不清,以及代码与业务语言不一致的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.586score
engineering-assistant
snbc-qihang
将工程任务路由到最小充分的 skill 或受治理 flow。适用于请求跨越上下文、设计、实现、评审、发布或长期任务协调的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.586score
tdd
snbc-qihang
通过真实红绿反馈实现可测试的行为。适用于明确要求 TDD,或新增规则、缺陷修复适合失败测试驱动的场景;普通修改不自动触发。
SkillAFreshness: A★ 1Claude Code +9 - 0.583score
repo-context
snbc-qihang
基于源码证据梳理仓库模块、接口、数据、依赖、可复用能力和影响范围。适用于设计或大范围变更分析之前。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
decision-interview
snbc-qihang
在查明仓库事实后,与用户一起解决相互依赖的产品或设计决策。适用于范围、取舍或验收标准仍不明确的场景。
SkillAFreshness: A★ 1Claude Code +9 - 0.578score
diagnosing-bugs
snbc-qihang
通过复现、最小化、可证伪假设、定向观测、修复和回归证据诊断疑难缺陷或性能退化。
SkillAFreshness: A★ 1Claude Code +9
Done for you
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Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/snbc-qihang-research (last updated 2026-10-24)