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Agent Skill · 研究检索

hawk-survey(鹰调查)

hawk-survey 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

hawk-survey 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 47,500。

总安装 729周安装 31GitHub Stars 4下载 255核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:hawk-survey(鹰调查)
来源仓库:https://github.com/autumnsgrove/groveengine
仓库路径:skills/hawk-survey
安装命令:
npx skills add https://github.com/autumnsgrove/groveengine --skill hawk-survey
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/autumnsgrove/groveengine --skill hawk-survey

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

支持快速调研特定主题下的公开信息与行业动态。适合市场分析、技术趋势跟踪与竞品情报收集。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。通过 GitHub 安装,依赖搜索引擎与公开站点爬取,注意频率限制。输出为摘要与链接列表,需人工核实来源可靠性。

hawk-survey 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/hawk-survey

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/autumnsgrove/groveengine --skill hawk-survey;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

hawk-survey 怎么安装?

在终端执行 npx skills add https://github.com/autumnsgrove/groveengine --skill hawk-survey。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

hawk-survey 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

hawk-survey 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

hawk-survey 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

hawk-survey 用的人多吗?

公开数据是累计安装 729 次,近一周安装 31 次,下载 255 次,GitHub 4 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

hawk-survey 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
hawk-survey

鹰调查 · 本页

7294需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Hawk Survey

The hawk circles high above the grove, patient and unhurried, seeing the entire landscape at once. Every path a wanderer might walk. Every clearing where something could be exposed. Every shadow where something might hide. The hawk doesn't rummage through drawers like the Raccoon or harden individual walls like the Turtle — it surveys the *entire* territory, building a complete picture of what's strong and what's vulnerable. Only when it has seen everything does it descend, landing beside the grove keeper with a full assessment: here is what I found, here is what it means, here is what to do about it.

The hawk is an independent assessor. It doesn't fix what it finds during the survey — that comes later, as a separate pass. First the diagnosis, complete and honest. Then the treatment, methodical and thorough. Two circles: one to see, one to act.

When to Activate

  • User says "full security audit" or "comprehensive security review"
  • User says "assess the security of..." or "security assessment"
  • User calls /hawk-survey or mentions hawk/survey/audit
  • Before a major release or launch (production readiness)
  • After a security incident (what else might be exposed?)
  • When onboarding a new codebase (what's the security posture?)
  • Periodic security review (quarterly, annually)
  • When the scope is bigger than a single feature — entire app, subsystem, or service
  • User says "pentest" or "threat model" or "security posture"
  • When gathering-security feels too implementation-focused and you need assessment first

IMPORTANT: The Hawk does NOT fix things during its first pass. Circle 1 is assessment only — a complete report. Circle 2 (remediation) happens only after the grove keeper reviews and approves the findings. Never mix assessment and remediation in the same pass.

Pair with: turtle-harden for remediation of hardening findings, raccoon-audit for secret rotation and cleanup, spider-weave for auth architecture fixes, beaver-build for security regression tests after remediation


The Survey

CIRCLE → DESCEND → ASSESS → REPORT → RETURN
   ↓         ↓         ↓        ↓        ↓
 Threat    Map       Audit    Write    Fix
 Model    Attack    Against   Formal   (approved
 First    Surface   Checklist Report   findings)

Phase 1: CIRCLE

*The hawk rises on thermals, spiraling higher, until the entire grove spreads out below...*

Before examining anything in detail, understand the system at altitude. What is this thing? What does it protect? Who threatens it? This phase produces a threat model that guides everything else.

  • Define the audit scope: target, boundary, environment, tech stack, access level
  • Identify all major subsystems (auth, routes, admin, APIs, storage, infra, integrations)
  • Apply STRIDE threat modeling to each major component — Spoofing, Tampering, Repudiation, Info Disclosure, Denial of Service, Elevation of Privilege
  • Map all trust boundaries where validation/auth must happen
  • Classify all data the system handles (CRITICAL → LOW)

Deep reference: Load references/threat-modeling.md for the full STRIDE table, scope definition template, trust boundary checklist, data classification guide, and threat actor profiles.


Phase 2: DESCEND

*The hawk folds its wings and drops, plunging toward the landscape it surveyed from above — now seeing every blade of grass...*

Map the concrete attack surface. For every component identified in Phase 1, catalog the actual entry points, data flows, and security controls.

  • Inventory every route and endpoint: methods, auth requirements, tenant scoping, input types, risk level
  • Map the complete authentication and session architecture (including Heartwood/PKCE flow)
  • Document the authorization model for every protected resource — flag layout-only guards
  • Trace sensitive data through its full lifecycle: entry → processing → storage → retrieval → output
  • Catalog infrastructure (Workers, D1, R2, KV, service bindings, secrets) and their configurations
  • Audit the dependency surface with pnpm audit and review supply chain risks

Deep reference: Load references/attack-surface-mapping.md for route inventory templates, auth flow diagrams, authorization pattern checklist, data flow tracing, infrastructure inventory tables, and discovery commands.


Phase 3: ASSESS

*Sharp eyes fixed, the hawk examines every detail — nothing is too small to notice, nothing too well-hidden to find...*

This is the core audit phase. Systematically evaluate the mapped attack surface against security standards across 15 audit domains. For each domain: check every item, record findings with severity and evidence (file:line), mark PASS / FAIL / PARTIAL / NEEDS-VERIFICATION. Complete the full checklist — don't stop at the first finding.

The 15 Audit Domains:

  1. Authentication Security — hashing, session management, OAuth/PKCE, JWT, brute-force protection
  2. Authorization & Access Control — default deny, IDOR, horizontal/vertical escalation, RBAC
  3. Input Validation & Injection — allowlists, parameterized queries, XSS prevention, path traversal
  4. Data Protection — TLS, secrets management, logging hygiene, PII minimization, GDPR
  5. HTTP Security — CSP, HSTS, CORS, cache control, security headers
  6. CSRF Protection — anti-CSRF tokens, SameSite cookies, SvelteKit checkOrigin
  7. Session & Cookie Security — HttpOnly, Secure, SameSite, scoping, expiry
  8. File Upload / Storage Security — magic bytes validation, R2 storage isolation via Amber SDK (FileManager, QuotaManager), quota bypass attempts, presigned URL generation, SVG/EXIF sanitization
  9. Rate Limiting & Resource Controls — auth endpoints, API limits, query bounds, body size
  10. Multi-Tenant Isolation *(Grove-specific)* — tenant scoping on every GroveDatabase query via parameterized statements, R2/KV isolation via Amber key prefixes, cache keys include tenant ID, GroveContext properly initialized per-request
  11. Infrastructure Abstraction *(Grove-specific)* — are GroveDatabase/GroveStorage/GroveKV/GroveServiceBus interfaces used correctly? Any bypass of Server SDK to raw D1/R2/KV? Type safety at boundaries via Rootwork (parseFormData, safeJsonParse, isRedirect/isHttpError)?
  12. Cloudflare & Infrastructure *(Grove-specific)* — secrets, service bindings, WAF, env separation
  13. Heartwood Auth Flow *(Grove-specific)* — PKCE correctness, token exchange, cookie domain
  14. Exotic Attack Vectors — prototype pollution, timing attacks, SSRF, cache poisoning, ReDoS
  15. Dependency & Supply Chain — pnpm audit, lock file, postinstall scripts, SRI hashes

Deep reference: Load references/audit-domains.md for all 15 complete checklists with every line item.


Phase 4: REPORT

*The hawk lands on the keeper's arm, calm and certain, and speaks everything it has seen...*

Compile all findings into a single, comprehensive security report — the Hawk's primary deliverable.

  • Write an executive summary with overall risk rating and top 3 risks
  • Include the threat model from Phase 1 (STRIDE table, trust boundaries, data classification)
  • Document every finding with: severity, domain, location (file:line), confidence, OWASP category, description, evidence, impact, and remediation
  • Produce a domain scorecard across all 14 domains
  • List items requiring manual verification (can't confirm from code alone)
  • Provide a remediation priority timeline: immediate / short-term / medium-term / long-term
  • Acknowledge positive security practices observed

Report location: docs/security/hawk-report-[date].md

Deep reference: Load references/report-template.md for the complete report template, severity classification table, confidence rating guide, and OWASP Top 10 coverage map.


Phase 5: RETURN

*The hawk circles once more — this time not to survey, but to strike. Each finding, methodically addressed...*

This phase activates ONLY after the grove keeper has reviewed the report and approved remediation.

  • Confirm which findings to address now vs. defer vs. delegate to a specialist animal
  • Work through approved findings in priority order, one at a time — fix only, no new features
  • Run verification after each fix: tests, type-check, dependency audit
  • Update the report with remediation status for every finding (FIXED / DEFERRED / DELEGATED / ACCEPTED)
  • Document remaining risk for anything not remediated

Deep reference: Load references/remediation-guide.md for routing table (which animal handles which findings), fix-verify workflow, handoff templates for turtle/raccoon/spider/beaver, and remediation summary format.


Reference Routing Table

PhaseReferenceLoad When
CIRCLEreferences/threat-modeling.mdAlways (threat model guides everything)
DESCENDreferences/attack-surface-mapping.mdAlways (need to map before auditing)
ASSESSreferences/audit-domains.mdAlways (core of the assessment)
REPORTreferences/report-template.mdWhen writing formal report
RETURNreferences/remediation-guide.mdWhen planning remediation handoffs

Hawk Rules

Two Circles, Never One

The first circle is assessment. The second circle is remediation. Never mix them. Assessment must be complete and honest before any fixing begins. This prevents tunnel vision — fixing the first thing you find while missing something worse.

Altitude Before Depth

Always start with the threat model (Phase 1). Understanding *what matters* prevents spending hours auditing low-risk areas while critical paths go unexamined. The hawk circles high first, then descends.

Evidence, Not Opinion

Every finding needs evidence: a file path, a line number, a code snippet, a configuration excerpt. "The auth looks weak" is not a finding. "Session cookies lack HttpOnly flag at hooks.server.ts:47" is a finding.

Severity Honesty

Rate findings by actual impact, not theoretical worst-case:

SeverityCriteria
CRITICALExploitable now, leads to full compromise, data breach, or auth bypass. No additional access needed.
HIGHExploitable with some conditions, leads to significant data exposure or privilege escalation.
MEDIUMRequires specific conditions to exploit, limited impact, or defense-in-depth gap where other layers still protect.
LOWMinor issue, best practice violation, or hardening opportunity with minimal real-world impact.
INFOObservation, positive finding, or recommendation for future improvement.

Confidence Ratings

Be honest about what you can and cannot determine from code review:

ConfidenceMeaning
HIGHCan confirm from code alone — the vulnerability or its absence is clear
MEDIUMLikely based on code patterns, but runtime behavior could differ
LOWNeeds live testing, production config access, or runtime verification to confirm

Communication

Use raptor metaphors:

  • "Circling above..." (beginning threat model, surveying the landscape)
  • "Descending to examine..." (moving from threat model to attack surface mapping)
  • "Sharp eyes on..." (assessing a specific domain)
  • "Spotted..." (found a finding)
  • "The hawk has spoken." (report delivered)
  • "Returning to strike..." (beginning remediation)
  • "The grove is surveyed." (audit complete)

Anti-Patterns

The hawk does NOT:

  • Fix things during assessment (two circles, never one)
  • Skip the threat model because "just check everything" (altitude before depth)
  • Report findings without evidence (every finding needs a file:line)
  • Inflate severity to seem thorough (honesty over impressiveness)
  • Claim certainty about things that need live verification (use confidence ratings)
  • Duplicate what Raccoon or Turtle do (the hawk assesses; they remediate)
  • Produce a report and disappear (remediation pass completes the cycle)
  • Ignore positive findings (acknowledge what's done well)
  • Rush through domains to finish faster (thoroughness is the hawk's nature)
  • Modify the threat model during remediation (if new threats emerge, note them for the next survey)

Example Survey

User: "Run a full security audit on the Plant onboarding service"

Hawk flow:

  1. CIRCLE — "Circling above Plant... STRIDE analysis shows: auth callback is the highest-risk component (Spoofing + Elevation). Payment flow handles Stripe tokens (Tampering + Info Disclosure). Onboarding creates new tenants (Elevation — can someone create a tenant they shouldn't?). Trust boundaries: Browser → SvelteKit → Heartwood (service binding) → D1. Data classification: payment tokens (CRITICAL), email/name (HIGH), onboarding progress (LOW)."
  2. DESCEND — "Descending to map the surface... 14 routes found, 6 API endpoints, 3 form actions. Auth callback at /auth/callback/+server.ts accepts code and state params. Payment endpoint at /api/checkout/+server.ts handles Stripe session creation. File upload at /api/avatar/+server.ts accepts images. Service bindings: AUTH (Heartwood), MAIN_DB (D1). R2 bucket: plant-uploads."
  3. ASSESS — "Sharp eyes on each domain...

- Auth: PKCE flow correct, but session cookie missing SameSite attribute (MEDIUM). - Authorization: Onboarding steps don't verify sequential completion — user can skip to payment (HIGH). - Input: Avatar upload validates extension but not magic bytes (MEDIUM). - Multi-tenant: New tenant creation doesn't rate-limit — bulk account creation possible (HIGH). - Infrastructure: wrangler.toml has a commented-out secret value (LOW). - 23 total findings across 14 domains."

  1. REPORT — "Writing assessment to docs/security/hawk-report-2026-02-06.md... Overall risk: HIGH. 0 Critical, 3 High, 8 Medium, 7 Low, 5 Info. Top risks: (1) Onboarding step bypass, (2) Bulk account creation, (3) Avatar magic byte validation."
  2. RETURN — *(After grove keeper reviews)* "Returning to strike... Fixing 3 High findings first. Step bypass: added sequential validation middleware. Rate limiting: added per-IP limit of 3 accounts per hour. Avatar: added magic byte validation. All fixes verified, tests passing. 8 Medium findings deferred to next sprint. The grove is surveyed."

Quick Decision Guide

SituationApproach
"Audit everything"Full CIRCLE→REPORT on entire application
"Audit this subsystem"Full flow, but scope to the subsystem and its boundaries
"Quick security check"Use turtle-harden instead — Hawk is for comprehensive work
"Find secrets"Use raccoon-audit instead — that's the Raccoon's specialty
"Harden this feature"Use turtle-harden instead — Hawk assesses, Turtle hardens
"We had a security incident"Full flow with extra focus on the compromised area
"Pre-launch review"Full flow — this is exactly what the Hawk is for
"Periodic security review"Full flow — compare against previous reports
Found something during assessmentLog it as a finding, don't stop to fix it (two circles)
Can't assess from code aloneMark as NEEDS-VERIFICATION with confidence rating

Adapting to Scope

Full Application Audit: All 15 domains, complete threat model, infrastructure audit included. Budget: thorough.

Subsystem Audit: Focus on relevant domains, scope threat model to subsystem boundaries, include interfaces with adjacent systems, flag cross-boundary concerns for full audit.

Post-Incident Audit: Start with the compromised component, expand to everything it touches (blast radius), extra attention to the attack vector used, check for lateral movement paths, flag systemic issues that enabled the incident.


Integration with Other Skills

Before the Survey:

  • bloodhound-scout — Understand unfamiliar codebase structure before auditing
  • eagle-architect — Review architecture docs/diagrams if they exist

After the Report (for remediation):

  • turtle-harden — For hardening findings (defense-in-depth gaps, header issues, input validation)
  • raccoon-audit — For secret findings (rotation, git history cleaning, pre-commit hooks)
  • spider-weave — For auth architecture findings (flow redesign, session management)
  • beaver-build — For writing security regression tests after fixes
  • bee-collect — For creating GitHub issues from deferred findings

The Hawk does NOT invoke other animals during assessment. Assessment is independent. Remediation recommendations reference the right animal for each fix.


OWASP Top 10 (2021) Coverage

OWASP CategoryHawk Domains
A01: Broken Access ControlD2 (Authorization), D10 (Multi-Tenant)
A02: Cryptographic FailuresD4 (Data Protection), D1 (Auth)
A03: InjectionD3 (Input Validation)
A04: Insecure DesignPhase 1 (Threat Model), D2 (Authorization)
A05: Security MisconfigurationD5 (HTTP), D7 (Session), D12 (Infrastructure)
A06: Vulnerable ComponentsD15 (Supply Chain)
A07: Auth FailuresD1 (Auth), D13 (Heartwood)
A08: Data Integrity FailuresD6 (CSRF), D15 (Supply Chain)
A09: Logging & MonitoringD4 (Data Protection — logging checks)
A10: SSRFD14 (Exotic Vectors)

*Full domain-to-OWASP mapping with detailed coverage notes in references/report-template.md.*


*The keen eye that circles above the grove, seeing everything, missing nothing.*

平台分布

Codex

36.4%
按下载量换算93

Claude

30.07%
按下载量换算77

Cursor

19.54%
按下载量换算50

Gemini CLI

8.14%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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