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recon-playbook

Use when starting or restructuring an authorized external web and API assessment.

Install / Use

npx skills add uphiago/recon-skills --skill recon-playbook

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

89/100

Category

Automation

Supported Platforms

Zed

Our assessment of recon-playbook

recon-playbook scores 89/100 on our quality scale, 1079th of 2,750 Automation skills we index (top 40%).

Its SKILL.md is 7.3 KB long, well organised into 15 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.

With 1,280 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
12/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 29 days ago, so recon-playbook is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

recon-playbook compared with similar skills

All 4 of these similar skills score higher than recon-playbook; compare them before choosing.

SkillScoreStarsUpdatedFormat
recon-playbook (this skill)by uphiago891.3k29d agoSKILL.md
Agent-Reachby Panniantong10086.6k15d agoCLAUDE.md
headroomby headroomlabs-ai10074.2ktodayCLAUDE.md
rufloby ruvnet10073.6ktodayCLAUDE.md
Scraplingby D4Vinci10084.8ktodayMCP Server

Frequently asked questions

How do I install recon-playbook?
Run npx skills add uphiago/recon-skills --skill recon-playbook. The install tabs above show the steps for each supported agent.
Which AI agents does recon-playbook work with?
It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
Is recon-playbook safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is recon-playbook still maintained?
The repository was last updated 29 days ago, so recon-playbook is actively maintained.

name: recon-playbook description: Use when starting or restructuring an authorized external web and API assessment. version: 2.0.0 license: MIT platforms: [linux, macos] compatibility: Requires curl, jq, subfinder, dnsx, httpx, katana, and optional nmap tags: [meta, recon, web, api, workflow] category: meta related_skills:

  • attack-patterns-reference
  • evidence-hygiene
  • offensive-osint
  • port-service-discovery
  • report-writing
  • subdomain-enumeration
  • triage-validation
  • web-enumeration
  • web2-recon

External Web Recon Playbook

Use this playbook to turn an authorized root domain or asset list into a prioritized map of web applications, APIs, authentication boundaries, and testable security hypotheses.

scope
  -> assets
  -> DNS and services
  -> routes and client code
  -> APIs and identities
  -> hypotheses
  -> focused validation
  -> evidence and reporting

When to Use

  • Beginning an external web, API, or bug bounty assessment.
  • Recon output exists but lacks normalization, provenance, or prioritization.
  • The target spans multiple applications, subdomains, or identity boundaries.
  • A broad scan needs to be converted into focused manual validation.

Do not use this playbook to justify activity outside the agreed scope or to run every available tool against every asset.

Prerequisites

  • Explicit authorization, target boundaries, exclusions, rate limits, and stop conditions.
  • curl, jq, subfinder, dnsx, httpx, and katana.
  • nmap only when IP or port discovery is in scope.
  • Approved test identities for authorization and session testing.
  • A writable evidence directory.

How to Run

export TARGET="example.test"
export OUTPUT_DIR="${OUTPUT_DIR:-./output/$TARGET}"

mkdir -p \
  "$OUTPUT_DIR/assets" \
  "$OUTPUT_DIR/http" \
  "$OUTPUT_DIR/urls" \
  "$OUTPUT_DIR/evidence"

Run each phase only after reviewing the preceding output. Keep raw source files so every hostname, URL, and hypothesis has provenance.

Procedure

1. Record Scope

Keep a short operator-readable scope record beside the output:

allowed: *.example.test
excluded: status.example.test
identities: anonymous, test-user-a, test-user-b
request rate: 2 requests/second/host
state changes: synthetic records only

The scope must answer what may be tested, which identities may be used, how much traffic is acceptable, and whether a state-changing test is allowed.

2. Discover and Normalize Assets

subfinder -d "$TARGET" -silent \
  > "$OUTPUT_DIR/assets/subfinder.txt"

curl -sS --max-time 30 \
  "https://crt.sh/?q=%25.${TARGET}&output=json" \
  | jq -r '.[].name_value' \
  | sed 's/^\*\.//' \
  > "$OUTPUT_DIR/assets/crtsh.txt"

cat "$OUTPUT_DIR/assets/subfinder.txt" \
    "$OUTPUT_DIR/assets/crtsh.txt" \
  | tr '[:upper:]' '[:lower:]' \
  | grep -E '^[a-z0-9.-]+\.[a-z]{2,}$' \
  | sort -u \
  > "$OUTPUT_DIR/assets/hostnames.txt"

Review wildcard results, certificate SANs, third-party CNAMEs, and excluded assets before active probing.

3. Resolve and Identify HTTP Services

dnsx \
  -l "$OUTPUT_DIR/assets/hostnames.txt" \
  -silent -a -aaaa -cname -json \
  -o "$OUTPUT_DIR/assets/dns.jsonl"

httpx \
  -l "$OUTPUT_DIR/assets/hostnames.txt" \
  -threads 10 \
  -rate-limit 2 \
  -status-code -title -tech-detect -server -ip -cname \
  -json \
  -o "$OUTPUT_DIR/http/services.jsonl"

jq -r '.url // empty' "$OUTPUT_DIR/http/services.jsonl" \
  | sort -u \
  > "$OUTPUT_DIR/http/live-urls.txt"

Treat technology labels and banners as routing signals. Confirm important components from more than one source before associating a vulnerability.

4. Map Routes, Parameters, and Client Code

katana \
  -list "$OUTPUT_DIR/http/live-urls.txt" \
  -silent -jc -kf all \
  -c 2 -p 2 -rl 2 \
  -o "$OUTPUT_DIR/urls/katana.txt"

grep -Ei '/api/|/graphql|swagger|openapi|/rest/' \
  "$OUTPUT_DIR/urls/katana.txt" \
  > "$OUTPUT_DIR/urls/api-candidates.txt"

grep -Ei 'login|logout|register|reset|oauth|saml|callback|session|token' \
  "$OUTPUT_DIR/urls/katana.txt" \
  > "$OUTPUT_DIR/urls/auth-candidates.txt"

grep -Ei '\.js([?#].*)?$' "$OUTPUT_DIR/urls/katana.txt" \
  > "$OUTPUT_DIR/urls/javascript.txt"

Map current routes before adding archive sources. Historical URLs are useful for discovery, but they do not prove that an endpoint remains reachable.

5. Map APIs and Identity Boundaries

For each application, record:

  • API base URLs, descriptions, versions, operations, and object identifiers;
  • anonymous, user, tenant, manager, and administrator boundaries;
  • login, logout, refresh, password reset, MFA, OAuth, and SAML flows;
  • cookie, token, CORS, CSRF, and WebSocket behavior;
  • state-changing methods and the synthetic objects approved for testing.

Authorization testing needs at least two approved identities when the claim depends on cross-user or cross-tenant access.

6. Select Focused Skills

Use attack-patterns-reference to classify observations, then open only the skills supported by current evidence. Common routes include:

| Observation | Follow-up skill | |---|---| | JavaScript bundles or source maps | js-secrets-extraction, source-leak-hunt | | REST objects and identifiers | hunt-api-misconfig, hunt-idor | | GraphQL endpoint | hunt-graphql | | OAuth or SAML flow | hunt-oauth, hunt-saml | | WordPress surface | hunt-wordpress, wordpress-plugin-hunt | | Public service port | port-service-discovery | | Candidate multi-step path | cross-attack-chains |

7. Validate One Hypothesis at a Time

Write the hypothesis before the probe:

Expected: user A cannot read user B's synthetic object.
Test: repeat the same object request with both approved sessions.
Positive evidence: user A receives user B's object and its non-public fields.
Negative control: an unknown object returns the documented not-found response.
Stop condition: any access to non-synthetic or out-of-scope data.

Use triage-validation before reporting. A status code, scanner label, version string, or permissive-looking header is not sufficient by itself.

8. Preserve Evidence

For every material result, retain:

  • target, identity, UTC timestamp, and scope context;
  • sanitized request and response;
  • expected and observed behavior;
  • negative control;
  • side effects, cleanup, and testing limits;
  • tool and relevant version.

Use evidence-hygiene while testing and report-writing after validation.

Pitfalls

  • Catch-all applications return 200 for nonexistent sensitive paths.
  • CDN IPs and headers do not identify an origin or application version alone.
  • Archived endpoints may be dead, redirected, or reassigned.
  • Public client identifiers are not automatically secrets.
  • Broad crawling can cross into third-party or excluded domains.
  • Pagination can turn a bounded proof into unnecessary data collection.
  • State-changing validation requires explicit authorization immediately before the command and must use synthetic records.

Verification

  • Every active asset traces back to an allowed scope entry and discovery source.
  • Live services have normalized URLs and DNS context.
  • Application maps include routes, APIs, authentication, and identity roles.
  • Every promoted finding includes semantic evidence and a negative control.
  • Candidate attack paths label unverified steps as inferred or not tested.
  • Evidence is sanitized, reproducible, and stored beneath OUTPUT_DIR.

Related Skills

View on GitHub
GitHub Stars1.3k
CategoryAutomation
Updated29d ago
Forks215

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions