Quickstart

anthropics/defending-code-reference-harness/.claude/skills/quickstart

作者 anthropicsd3bea6b5793b5f3d59a75ebe69a58efa88383145無授權條款7.5K 個星標收錄於 2026年10月9日更新於 2026年10月9日儲存庫2 個月前更新

The front door for this repo. With no argument: a 30-second intro, then an offer to walk you through your first run on the canary target. With a question: answers it from this repo's own docs and source, cites where it looked, and hands you the next command. Use for "how do I…", "why does…", "where is…", "can this…", or just "/quickstart" to get oriented.

精選僅含說明AI & Agents
AI 產生的概覽

為安全儲存庫的新操作者提供入門引導,並依據儲存庫自身的文件與原始碼附引用地回答问题。

功能
提供兩種模式:沒有參數時對儲存庫做簡短介紹,並提議在內附的 canary 目標上引導執行三個 Step-1 技能,每步之間暫停。有提問時,依據儲存庫自身的文件與原始碼作答,引用所用的檔案與章節,並給出下一步指令。它會依主題把問題導向特定文件、設定與技能。
適用情境
適用於新操作者需要了解此儲存庫,或針對儲存庫提出如何做、為何、在哪裡、能否等問題時。也適合為掃描、分診、修補或偵測與回應等任務找到合適的下一步指令或技能。
執行需求
僅為指令,不含隨附指令碼。依賴代理的讀取、檔案比對、文字搜尋、子代理任務與向使用者提問等工具,並要求儲存庫自身的文件、原始碼與目標設定存在。

/quickstart

Two modes, picked by whether $ARGUMENTS is empty.

  • Empty → Intro mode. Short orientation, then offer the guided first run.
  • Non-empty → Help mode. Treat $ARGUMENTS as the operator's question.

Intro mode

Keep it short and a little warm; this is the first thing a new operator sees.

Say roughly:

Welcome! This repo takes you from finding your first vulnerability to patching at scale, using a set of Claude Code skills and an autonomous pipeline. Two ways in: interactive skills (no setup, safe, start here) and the autonomous pipeline (Docker, scales to hundreds of parallel agents).

The ramp-up:

| Day 1 | Threat-model + first static scan + triage | | Day 2 | Run the reference pipeline (C/C++) | | Day 3-4 | Customize it for your stack | | Week 2 | Autonomous scanning, triage, and patching |

Day-1 goal: threat-model, scan, and triage the bundled canary target. Most teams get there before lunch.

Remind them to export CLAUDE_CODE_SUBAGENT_MODEL=<model-id> so subagents use the same model as the session.

Then AskUserQuestion with three options:

  1. Walk me through Day 1 on the canary (~10 min) → run "Guided first run" below.
  2. I have a question → ask what it is, then switch to Help mode.
  3. I'll read the README → point at README.md Step 1 and stop.

Guided first run

Runs the three Step-1 skills on targets/canary, pausing after each to show what landed on disk. These only read/write files in the repo; no sandbox needed.

  1. /threat-model bootstrap targets/canary via Task. When done, open THREAT_MODEL.md, show the focus areas, explain in 2-3 sentences how this steers the scan.
  2. /vuln-scan targets/canary via Task. When done, open targets/canary/VULN-FINDINGS.md, summarize the count and top 2-3 findings, point at VULN-FINDINGS.json.
  3. /triage targets/canary/VULN-FINDINGS.json via Task. When done, open TRIAGE.md, explain what changed vs. raw findings (verified, deduped, re-ranked).

Pause for the operator between each (AskUserQuestion); don't barrel through. Close with a one-line recap of the three artifacts on disk, then point at README Step 2 for the execution-verified pipeline. Never run vuln-pipeline or anything that executes target code here; that's Step 2 and needs Docker + a sandbox.


Help mode

Answer the operator's question using this repo as ground truth: README, docs/*.md, harness/*.py, dnr_harness/*.py, targets/*/config.yaml, .claude/skills/*. Don't answer from general knowledge when the repo has a specific answer.

Routing map

If the question is about…Read firstThen offer
running the pipelinedocs/pipeline.md, README Step 2the recon / run command
too many findings, triagedocs/triage.md/triage <path>
porting, Java/Go/Rust/etc.docs/customizing.md, README Step 3/customize
safety, sandbox, Dockerdocs/security.mdcite; no action
rate limits, 429, token budgetdocs/pipeline.md: Rate limits, docs/troubleshooting.md#rate-limitscite the numbers
duplicates, dedupdocs/troubleshooting.md#duplicate-findingsknown_bugs: hint
CLI flags, "what does --X do"harness/cli.py (grep the argparse)exact flag + example
which model, subagent pinningdocs/troubleshooting.md: Subagentsthe export line
best practices, promptingdocs/best-practices.md, docs/prompting.mdcite the principle
threat model, attack surface, scopedocs/threat-model.md/threat-model bootstrap <target-dir>
scan, audit, find vulns.claude/skills/vuln-scan/SKILL.md/vuln-scan <target-dir>
"how do I start"README Step 1offer Guided first run
patching, fix, diff, re-attackdocs/patching.md, README Step 4/patch <input>
threat hunting, incident response, logsdocs/detection-response.md/dnr-hunt or /dnr-respond
autonomous D&R, dnrcanarydocs/detection-response.md, targets/dnrcanary/README.mdthe dnr-pipeline run command
binary, embedded, other domainsdocs/other-use-cases.mdcite section
anything elseREADME Table of contentsbest-match doc

Answer format

  1. Direct answer in 2-5 sentences.
  2. > source: the file(s) and section you used.
  3. Next action: one copy-pasteable command or skill invocation, if one applies. If none does, say so.
  4. If the question is ambiguous, ask one clarifying question; don't guess.

Constraints

  • Never fabricate CLI flags or file paths. If unsure, Grep for it in harness/cli.py or the target configs and quote what you find.
  • If the repo doesn't answer the question, say so plainly and suggest the operator open a GitHub issue on this repo.
  • Keep the Q&A dry and cited. Save the warmth for Intro mode.

來源與署名

來源:anthropics/defending-code-reference-harness位於.claude/skills/quickstart提交d3bea6b

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