Agent skill

Hunt Session

by sickn33 in sickn33/agentic-awesome-skills

“Hunt Session Management vulnerabilities”

— description from SKILL.md by sickn33
MITAuto-check passedBackend & APIs

Install Hunt Session

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill hunt-session -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills hunt-session --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hunt-session .claude/skills/hunt-session && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hunt-session
GitHub stars
47k
Used in
1 other repo
Token cost
~5.4k tokens
SKILL.md length
1,754 words
Files
1
Skills in repo
1,354
Repo updated
First seen
Licence
MIT

At a glance

  • Works in 8 steps: Session Fixation (regeneration-on-login) → Invalidation on Logout → Invalidation on Password / Email Change… → …
  • SKILL.md covers Autonomous Testing Priority, Crown Jewel Targets, Grounding — patterns that… and Attack Surface Signals, plus 5 more sections
  • Calls curl and jq

About this skill

Hunt Session is a skill in sickn33/agentic-awesome-skills (47k stars). Its SKILL.md is about 5.4k tokens, and copies of it appear in 1 other owners' repositories. Licence: MIT.

Requirements

  • Compatibility (from SKILL.md): Requires explicit written authorization for a target scope plus the relevant testing tools for this technique. Docs-only; helper scripts and commands not bundled.

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Session Fixation (regeneration-on-login)
  2. Invalidation on Logout
  3. Invalidation on Password / Email Change (persistent-ATO core)
  4. Cookie Attribute Analysis
  5. Session-ID Entropy
  6. JWT-as-Session
  7. Refresh-Token Rotation & Reuse-Detection
  8. OAuth/SSO Session Linkage & DBSC Downgrade

What it can do on your machine

Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • curl
    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Requires explicit written authorization for a target scope plus the relevant testing tools for this technique. Docs-only; helper scripts and commands not bundled.

    From compatibility in the SKILL.md frontmatter.

Context cost

Hunt Session loads about 5.4k tokens when it runs. Until then it costs about 13 tokens; SKILL.md has 1,754 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~13
When it runs · the whole SKILL.md, loaded when a task matches
~5.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 1,754 words, ~5,413 tokens.

Download SKILL.mdSave it as .claude/skills/hunt-session/SKILL.md (or your agent's skills folder).
name
hunt-session
description
Hunt Session Management vulnerabilities
compatibility
Requires explicit written authorization for a target scope plus the relevant testing tools for this technique. Docs-only; helper scripts and commands not bundled.
category
security
risk
offensive
source
https://github.com/elementalsouls/Claude-BugHunter
source_repo
elementalsouls/Claude-BugHunter
source_type
community
date_added
2026-09-20
license
MIT
license_source
https://github.com/elementalsouls/Claude-BugHunter/blob/main/LICENSE
sources
hackerone_public, portswigger_research, owasp_wstg
report_count
18

⚠️ AUTHORIZED USE ONLY This skill is for educational purposes or authorized security assessments only. You must have explicit, written permission from the system owner before using this tool. Misuse of this tool is illegal and strictly prohibited.

Mandatory confirmation gate Before running any command that probes, exploits, changes, persists on, extracts data from, or attempts credential access against a target:

  1. Ask the user to state the exact target URL, IP, account, or resource.
  2. Ask the user to confirm written authorization and the permitted scope.
  3. Show the exact command(s) and explain their expected effect.
  4. Wait for explicit confirmation in the current conversation.

Without that confirmation, remain read-only and provide defensive guidance only. Prefer a sandbox, disposable VM, or controlled lab.

Autonomous Testing Priority

Missing HttpOnly on cookies is auto-detected — focus your active testing on lifecycle invalidation (higher impact).

Pattern 1 — Session survives logout (most common high-value finding):

  1. Login and note the session token/cookie value
  2. Call the logout endpoint (/logout, POST /api/logout, etc.)
  3. Try to use the OLD session token to access a protected resource (/api/me, /dashboard, /account)
  4. If 200 with user data → session not invalidated on logout = ATO persistence

Pattern 2 — Session not regenerated on login (session fixation):

  1. GET any page to receive a pre-authentication session token/cookie
  2. POST valid credentials to the login endpoint
  3. Compare the session token BEFORE and AFTER login
  4. If the token is unchanged → session fixation vulnerability

Pattern 3 — Session survives password change:

  1. Login → record session A value
  2. Change the password via the account settings endpoint
  3. Replay session A on a protected endpoint
  4. If 200 → token not rotated on credential change = persistent ATO (critical chain when combined with XSS/cookie theft)

Content-type: Login and session endpoints vary — use application/json for REST APIs, application/x-www-form-urlencoded for traditional web forms. Try both if the first returns an unexpected response.

Proof: A protected-resource 200 response (with user data) using a session token that should have been invalidated confirms the finding.


HUNT-SESSION — Session Management

Crown Jewel Targets

Session fixation leading to admin hijack = Critical. Session surviving a password change = High-to-Critical (persistent ATO from a stolen cookie that the victim believes they revoked by resetting their password).

Highest-value chains:

  • Session fixation — server accepts a session ID set by the client and does NOT regenerate it on login → attacker pre-plants an ID, victim authenticates, attacker rides the now-authenticated session → persistent ATO.
  • No invalidation on logout — old token still works after /logout → theft window never closes.
  • No invalidation on password / email change — a stolen session survives the victim's "I think I was hacked, let me reset" → persistent ATO. This is the single highest-paid session bug class.
  • Refresh-token reuse without rotation-detection — a leaked refresh token mints fresh access tokens forever; no reuse-detection means the legitimate user's later refresh does NOT revoke the attacker's branch.
  • Predictable / low-entropy session ID — sequential, timestamp- or userId-derived IDs → brute-force or compute other users' sessions.
  • JWT-as-session with no exp / no revocation list — stolen JWT = permanent access; logout is cosmetic.

Grounding — patterns that shaped each phase

No invented CVE/report IDs below. These are the named, publicly-documented patterns this skill encodes:

  • Session fixation, login-CSRF, no-regeneration-on-auth — OWASP WSTG-SESS-03 / WSTG-SESS-01; the classic ACROS / Mitja Kolšek session-fixation paper. Highest-impact variant: fixing the session of an SSO/admin user.
  • SameSite=Lax sibling-subdomain CSRF reaching session state — Argo CD CVE-2024-22424 (Lax cookies sent on top-level cross-site navigations from a sibling subdomain). Use this when a session cookie relies on SameSite=Lax as its only CSRF defence.
  • Refresh-token rotation & automatic reuse-detection — the Auth0/IETF OAuth-Security-BCP model: a rotated refresh token, if replayed, must invalidate the entire token family. Absence = the core bug to prove.
  • Device Bound Session Credentials (DBSC) — the W3C/Chrome DBSC draft binds a session to a TPM/device key. Test the downgrade: does the server still accept a non-bound cookie when the DBSC challenge is stripped?
  • Cookie attribute hardening — OWASP WSTG-SESS-02; __Host-/__Secure- prefixes per RFC 6265bis. Missing HttpOnly is only a finding when a real XSS/DOM sink exists (chain with hunt-xss/hunt-dom).
  • Entropy — NIST SP 800-63B requires ≥64 bits of entropy in a session identifier. Treat anything decodable to a counter/timestamp/userId as a finding regardless of length.

Cross-refs: ATO chaining → hunt-ato; JWT alg/kid tampering → hunt-api-misconfig; OAuth code/state flaws → hunt-oauth; CSRF mechanics → hunt-csrf; cookie-theft sinks → hunt-xss / hunt-dom.


Attack Surface Signals

Set-Cookie: session=...            # name varies: sid, JSESSIONID, connect.sid,
                                   # PHPSESSID, ASP.NET_SessionId, laravel_session, _csrf
/login /logout /api/login /oauth/token
/auth/refresh /api/token/refresh   # refresh-token rotation surface
/account/change-password /settings/email
?sid= ?session= in URL             # session-in-URL → leaks via Referer/logs (finding)
# Header signals worth flagging immediately:
Set-Cookie: session=abc; Path=/                 # no HttpOnly/Secure/SameSite
Set-Cookie: session=abc; SameSite=None          # None without Secure = rejected by modern browsers, but flag
Set-Cookie: __Host-sess=...; Secure; Path=/     # GOOD — hard to fixate
Sec-Session-Registration: ...                   # DBSC in play → test downgrade

Step-by-Step Hunting Methodology

Two-session rule. Every invalidation/fixation claim is proven with TWO concrete sessions captured by a real flow — attacker A and victim B — never with hardcoded placeholder strings. Helpers below capture real cookies from curl's Netscape jar.

bash
TARGET=target.com
JAR_A=$(mktemp); JAR_B=$(mktemp)

# Robust session-cookie extractor: handles #HttpOnly_ prefix lines and any
# cookie name (sid/JSESSIONID/connect.sid/PHPSESSID/...). Prints name=value.
get_cookie () {  # $1=jar  $2=name-regex (default: common session names)
  local jar="$1" re="${2:-session|sid|sess|JSESSIONID|connect\.sid|PHPSESSID|laravel_session}"
  awk -v re="$re" '
    /^#HttpOnly_/ { sub(/^#HttpOnly_/,""); }   # strip jar HttpOnly marker
    /^#/ { next }                              # skip remaining comments
    NF>=7 && $6 ~ re { print $6"="$7 }         # field6=name field7=value
  ' "$jar" | tail -1
}
Phase 1 — Session Fixation (regeneration-on-login)
bash
# Step 1: grab a pre-auth session the SERVER hands an anonymous client.
curl -s -L -c "$JAR_A" "https://$TARGET/login" -o /dev/null
PRE=$(get_cookie "$JAR_A"); echo "pre-auth: $PRE"

# Step 1b (stronger): can we FORCE an arbitrary ID? attacker-chosen value.
FIX="session=AAAAdeadbeefAAAA"

# Step 2: authenticate while CARRYING the pre-auth/forced cookie (reuse same jar).
curl -s -L -c "$JAR_A" -b "$JAR_A" -X POST "https://$TARGET/login" \
  -d "username=attacker@example.com&password=CorrectHorse1" -o /dev/null
POST=$(get_cookie "$JAR_A"); echo "post-auth: $POST"

# DECISION:
#  - If $POST == $PRE (value unchanged across the auth boundary) AND that value
#    now returns authenticated data → FIXATION. The server reused the anon ID.
#  - If the forced $FIX value is accepted and authenticates → CRITICAL fixation
#    (attacker controls the ID; no email/XSS needed to plant it).
AUTH=$(curl -s -L -b "$JAR_A" "https://$TARGET/api/me")
echo "$AUTH" | head -c 200

FP guard: a value change is not automatically safe — some apps rotate the readable cookie but keep a stable server-side session keyed by a second cookie. Diff the FULL Set-Cookie set and confirm the old value is genuinely dead (Phase 2). Also confirm /api/me returns your identity, not a generic 200/landing page.

Phase 2 — Invalidation on Logout
bash
# A logs in for real (fresh jar), capture A's live session.
curl -s -L -c "$JAR_A" -X POST "https://$TARGET/api/login" \
  -H 'Content-Type: application/json' \
  -d '{"email":"attacker@example.com","password":"CorrectHorse1"}' -o /dev/null
A=$(get_cookie "$JAR_A"); echo "A=$A"

# Baseline: what does an authenticated /api/me look like for A? (capture body, not just code)
BEFORE=$(curl -s -L -b "$JAR_A" "https://$TARGET/api/me")

# Logout A.
curl -s -L -b "$JAR_A" -X POST "https://$TARGET/api/logout" -o /dev/null

# Replay A's OLD cookie value explicitly (do NOT reuse the jar — logout may have
# overwritten it). Compare body + code against the authenticated baseline.
AFTER=$(curl -s -L -H "Cookie: $A" "https://$TARGET/api/me" -w '\n[%{http_code}]')
echo "AFTER: $AFTER"

FP discipline (mandatory):

  • Don't trust the status code. A cached/edge 200 or a generic SPA shell returns 200 for everyone. Body-diff AFTER against BEFORE — the finding is only real if AFTER still contains A's unique identity marker (email, user-id, CSRF token, account name).
  • Confirm with a negative control: a random/garbage cookie value must NOT return the same authenticated body. If garbage also yields 200 with user data, the endpoint isn't session-gated and there's no finding here.
  • Re-test after a short delay and from a different IP — some servers lazily expire on next access or pin sessions to IP.
Phase 3 — Invalidation on Password / Email Change (persistent-ATO core)
bash
# This is the real two-session flow. A = attacker holding a stolen/old session.
# B = the victim who changes their password believing it revokes access.
# (In a real engagement A is a session you legitimately captured for a TEST account
#  that you also control as B — never use a real third party.)

# 1) Log the TEST account in as session A, capture it.
curl -s -L -c "$JAR_A" -X POST "https://$TARGET/api/login" \
  -H 'Content-Type: application/json' \
  -d '{"email":"victim@example.com","password":"OldPass!1"}' -o /dev/null
SESSION_A=$(get_cookie "$JAR_A"); echo "SESSION_A=$SESSION_A"
BEFORE=$(curl -s -L -H "Cookie: $SESSION_A" "https://$TARGET/api/profile")

# 2) Log the SAME account in as session B (separate jar = "the victim's browser").
curl -s -L -c "$JAR_B" -X POST "https://$TARGET/api/login" \
  -H 'Content-Type: application/json' \
  -d '{"email":"victim@example.com","password":"OldPass!1"}' -o /dev/null

# 3) Victim (session B) changes the password.
curl -s -L -b "$JAR_B" -X POST "https://$TARGET/api/change-password" \
  -H 'Content-Type: application/json' \
  -d '{"old_password":"OldPass!1","new_password":"BrandNew!2"}' -o /dev/null

# 4) THE TEST: replay the OLD SESSION_A captured in step 1.
AFTER=$(curl -s -L -H "Cookie: $SESSION_A" "https://$TARGET/api/profile" -w '\n[%{http_code}]')
echo "AFTER pw-change: $AFTER"

Decision + FP discipline:

  • Finding is confirmed only if AFTER returns 200 and the body still carries the account's unique data (body-diff vs BEFORE). A bare 200 on a public/SPA route is not proof.
  • Run the garbage-cookie negative control again to prove the endpoint is session-gated.
  • Repeat the identical flow for email-change (/settings/email) and for logout-all-devices — apps frequently invalidate the acting session (B) but not sibling sessions (A). That sibling-survival is the exact persistent-ATO primitive hunt-ato chains.
  • Severity gate: if the change-password endpoint also lacks a current-password / MFA step-up (per hunt-mfa-bypass), A can pivot from read-only to full takeover → escalate.
Show full SKILL.md (739 more words)Show less
bash
curl -sI -L "https://$TARGET/" | grep -i '^set-cookie'
  • HttpOnly missing → cookie reachable via document.cookie. Only a finding chained to a real XSS/DOM sink (hunt-xss/hunt-dom) — note it, don't report standalone as High.
  • Secure missing → cookie sent over cleartext HTTP; pair with hunt-tls-network (downgrade/HSTS-gap) for a network-attacker chain.
  • SameSite missing/None → CSRF reachability; SameSite=Lax is bypassable via sibling-subdomain top-level navigation (Argo CD CVE-2024-22424 class) → hand to hunt-csrf.
  • __Host- / __Secure- prefix absent → the session can be overwritten/fixated from a subdomain or non-secure context; its presence largely kills cookie-fixation, so flag the absence as the precondition for Phase 1.
Phase 5 — Session-ID Entropy
bash
# Collect a LARGE sample (200+) of freshly-issued IDs. -L is required: a 302
# /login often sets the cookie on the redirect target, not the first response.
N=200; SAMP=$(mktemp)
for i in $(seq 1 $N); do
  J=$(mktemp)
  curl -s -L -c "$J" "https://$TARGET/login" -o /dev/null
  get_cookie "$J" | cut -d= -f2- >> "$SAMP"
  rm -f "$J"
done
sort "$SAMP" | uniq -d | head            # duplicates = catastrophic (re-use)
awk '{print length($0)}' "$SAMP" | sort -n | uniq -c   # length distribution

Then analyse, don't eyeball:

  • Sequential / monotonic — sort -n the decoded values; a steady +1/+N delta = predictable.
  • Decodable structure — base64 -d / hex-decode each ID and look for embedded userId, unix timestamps, or PIDs.
  • Bit entropy — feed the raw bytes to ent or dieharder; NIST SP 800-63B wants ≥64 bits. 10 samples is far too few to claim anything — gather hundreds.
  • FP guard: a long random-looking token is not proof of strength; only structural decode + a large-sample entropy estimate is. Conversely a short token with high per-char entropy may still be fine — measure, don't count characters.
Phase 6 — JWT-as-Session
bash
JWT="eyJ..."        # captured from Authorization: Bearer or a cookie
# Decode header + payload safely (base64url padding fix).
b64url(){ local s="${1//-/+}"; s="${s//_//}"; printf '%s' "$s===" | base64 -d 2>/dev/null; }
b64url "$(cut -d. -f1 <<<"$JWT")" | jq .   # header: alg, kid
b64url "$(cut -d. -f2 <<<"$JWT")" | jq .   # claims: exp, iat, sub, jti
  • exp missing or years out → no expiry. jti missing → server cannot maintain a revocation list → logout can't truly revoke.
  • Revocation test: logout, then replay the same JWT against /api/me. If it still returns the user → tokens are not server-revocable; this is the JWT-session persistence finding. Body-diff to avoid a cached 200.
  • Tampering (alg/kid/key-confusion) is owned by hunt-api-misconfig — hand off jwt_tool $JWT -T / -X a there rather than duplicating it.
Phase 7 — Refresh-Token Rotation & Reuse-Detection
bash
# 1) Obtain a refresh token (login or /oauth/token), then rotate it once.
RT1=$(curl -s -L -X POST "https://$TARGET/api/login" \
  -H 'Content-Type: application/json' \
  -d '{"email":"victim@example.com","password":"OldPass!1"}' | jq -r '.refresh_token')

# 2) Use RT1 to mint a new access token — server SHOULD return a rotated RT2.
R2=$(curl -s -L -X POST "https://$TARGET/auth/refresh" \
  -H 'Content-Type: application/json' -d "{\"refresh_token\":\"$RT1\"}")
RT2=$(jq -r '.refresh_token' <<<"$R2"); echo "rotated? RT1!=RT2 -> $([ "$RT1" != "$RT2" ] && echo yes || echo NO-ROTATION)"

# 3) REUSE-DETECTION test: replay the OLD RT1 again (simulating the leaked token).
REPLAY=$(curl -s -L -X POST "https://$TARGET/auth/refresh" \
  -H 'Content-Type: application/json' -d "{\"refresh_token\":\"$RT1\"}" -w '\n[%{http_code}]')
echo "RT1 replay: $REPLAY"

# 4) Then confirm RT2 was KILLED by the replay (correct BCP behaviour invalidates
#    the whole family). If RT2 still works after RT1 was replayed → no family-revocation.
curl -s -L -X POST "https://$TARGET/auth/refresh" \
  -H 'Content-Type: application/json' -d "{\"refresh_token\":\"$RT2\"}" -w '\n[%{http_code}]'

Findings: no rotation (RT1==RT2) = a long-lived stealable credential; rotation without reuse-detection (RT1 replay still mints tokens, or RT2 survives the replay) = the leaked-token-persistence bug per the OAuth Security BCP. OOB note: if you suspect a leaked RT via SSRF/log/JS-bundle, confirm the token's reach with hunt-ssrf/hunt-source-leak, not by guessing.

Phase 8 — OAuth/SSO Session Linkage & DBSC Downgrade
bash
# SSO linkage: after IdP callback, is the app session bound to the IdP session?
#  - Log out at the IdP only; replay the app session cookie. Still 200 with user
#    data → app session outlives the IdP session (single-logout gap).
# DBSC downgrade: if responses carry Sec-Session-Registration / Sec-Session-Id,
#  strip the device-bound proof header and replay the plain cookie:
curl -s -L -H "Cookie: $A" "https://$TARGET/api/me" -w '\n[%{http_code}]'
#  If the plain (non-bound) cookie is still accepted → device-binding is advisory,
#  not enforced → a stolen cookie defeats DBSC entirely.

Hand OAuth state/redirect_uri/code-injection to hunt-oauth; this phase only covers the session-layer binding.


Chain Table

Session findingChain toImpact
Session fixation (forced __Host--less cookie)Trick admin/SSO user into authenticating on planted IDAdmin session takeover (Critical)
No logout/password-change invalidationhunt-xss/hunt-dom cookie theft → replay surviving sessionPersistent ATO past victim's reset
Refresh token, no reuse-detectionLeaked RT (SSRF/log/bundle) → infinite access-token mintingPersistent ATO, survives password change
SameSite=Lax onlySibling-subdomain top-level nav (CVE-2024-22424 class) → CSRFState change / login-CSRF → fixation
JWT no exp/jtiStolen token, no server revocationPermanent access
DBSC downgrade acceptedSteal plain cookie despite device-bindingDefeats the only theft mitigation
Predictable IDCompute/brute another user's sessionCross-user ATO

Validation (house FP discipline)

Before claiming ANY session finding:

  • Two real sessions, not placeholders — every fixation/invalidation claim uses A and B captured by the curl flows above.
  • Body-diff, never status-only — a 200 means nothing without the account's unique identity marker present in the body, diffed against the authenticated baseline.
  • Negative control — a garbage/random cookie must FAIL where your "surviving" cookie succeeds; otherwise the endpoint isn't session-gated and it's a non-finding.
  • Cache/edge check — re-request with a cache-buster and from a second IP; rule out an edge-cached or IP-pinned 200.
  • OOB for theft chains — when the impact depends on exfiltrating a cookie/token (XSS, SSRF, log leak), confirm receipt out-of-band (Collaborator) rather than asserting it.
  • Static-vs-state — HttpOnly/Secure/SameSite absence is a policy observation; only report as High once paired with a real exploit primitive (XSS, network-MITM, CSRF). Standalone attribute gaps are Low/Informational.

Severity:

  • Session fixation → admin/SSO takeover: Critical
  • No invalidation on password/email change, or refresh-token reuse without detection: High → Critical (escalate if MFA/step-up also absent)
  • Predictable/duplicate session ID: High
  • No invalidation on logout: Medium → High (depends on theft vector)
  • Missing HttpOnly/SameSite standalone: Low/Informational until chained

When to Use

  • You have explicit, written authorization to assess the target in scope, and the task matches this skill's vulnerability class or technique within a bug-bounty or penetration-test engagement.
  • You need the recon, exploitation, or validation workflow described below — executed strictly inside the approved scope.

Limitations

  • Authorized scope only: the confirmation gate above is mandatory before any probing, exploitation, or credential-access command.
  • Docs-only import: upstream helper scripts, commands, engine, and research assets are not bundled; reinstall tooling from the source repo when needed.
  • Validate every finding (see triage-validation) before reporting; report via report-writing. Prefer a sandbox, disposable VM, or controlled lab.
Example
bash
# Read-only first step; confirm scope before anything active.
cat scope.txt  # target list from the authorized engagement brief

Adapted from elementalsouls/Claude-BugHunter (MIT); frontmatter, When to Use/Limitations, and safety boundaries added for upstream compliance. Docs-only import: executable helpers, commands, engine, and research assets not bundled.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/hunt-session of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit ec02547

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Auth BypassNeoTheCapt/RedteamAgent142—~1.3kAutomated safety check: PassNone
Cb Security HardeningBlkLeg/CircuitBreaker201—~2.1kAutomated safety check: PassMIT

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Questions about Hunt Session

How do I install Hunt Session in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill hunt-session -a claude-code`. Or copy the skill folder (skills/hunt-session in sickn33/agentic-awesome-skills) into .claude/skills/hunt-session in your project. Claude Code loads it when a task matches its description.

How do I install Hunt Session in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill hunt-session -a codex`. Or copy the skill folder (skills/hunt-session in sickn33/agentic-awesome-skills) into .agents/skills/hunt-session in your project. Codex loads it when a task matches its description.

Can I use Hunt Session in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill hunt-session -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hunt-session, .gemini/skills/hunt-session, .github/skills/hunt-session and .opencode/skills/hunt-session in your project.

What does Hunt Session need to run?

Going by SKILL.md and its folder, Hunt Session needs the command-line tools its instructions call (curl and jq). Compatibility (from SKILL.md): Requires explicit written authorization for a target scope plus the relevant testing tools for this technique. Docs-only; helper scripts and commands not bundled..

Does Hunt Session access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Hunt Session safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Hunt Session use?

Hunt Session is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hunt Session use?

About 5.4k tokens (SKILL.md is roughly 22k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hunt Session?

Skills that share tags, products or a category with Hunt Session: Security Review (doorkeeper-gem/doorkeeper, 5.5k stars), Sast JWT (utkusen/sast-skills, 1.3k stars), Hunt API Misconfig (elementalsouls/Claude-BugHunter, 4.8k stars) and Auth Bypass (NeoTheCapt/RedteamAgent, 142 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hunt Session?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.