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-broken-function-level-authgit 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-broken-function-level-auth)<a href="https://agentmods.dev/skills/uphiago/recon-skills/hunt-broken-function-level-auth"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-broken-function-level-auth/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-broken-function-level-auth"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-broken-function-level-auth.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Data Exfiltration · line 34 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 119 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00025 | $0.01656 |
| Opus 5 | $0.00013 | $0.00828 |
| Sonnet 5 | $0.00005 | $0.00331 |
| Haiku 4.5 | $0.00003 | $0.00166 |
Grade A, and why
hunt-broken-function-level-auth scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
compatibility: Requires curl, ffuf How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Broken Function Level Authorization
Hunt for endpoints where authorization is enforced at the controller/middleware level but bypassed through HTTP verb drift, legacy routes, shadow endpoints, or transport protocol inconsistencies. Unlike IDOR (object-level), this targets ACTION-level authorization — can a user invoke admin functions despite lacking the admin role.
When to Use
- API has distinct user roles (admin, moderator, user) but role checks are per-controller, not per-method.
- Legacy or deprecated endpoints still served behind updated middleware.
- GraphQL, gRPC, and WebSocket transports exist alongside REST APIs without authorization parity.
- Feature flags or beta endpoints expose functionality before security review.
- Batch/job endpoints accept internal requests without role verification.
Quick Detection
# Verb drift: try PUT/DELETE on endpoints that return 403 on GET
for method in GET POST PUT PATCH DELETE OPTIONS; do
curl --max-time 30 --connect-timeout 10 -sk -X "$method" "https://target.com/api/admin/users" -w "$method %{http_code}\n" -o /dev/null
done
Procedure
Phase 1 — HTTP Verb Drift
# Admin endpoints — each HTTP method may have different auth
ENDPOINTS=(
"/api/admin/users"
"/api/admin/settings"
"/api/manage/orders"
"/api/internal/config"
)
for ep in "${ENDPOINTS[@]}"; do
for method in GET POST PUT PATCH DELETE; do
curl --max-time 30 --connect-timeout 10 -sk -X "$method" "https://target.com$ep" \
-w "$method $ep — %{http_code}\n" -o /dev/null
done
# Also try custom methods
curl --max-time 30 --connect-timeout 10 -sk -X "PURGE" "https://target.com$ep" -o /dev/null -w "PURGE — %{http_code}\n"
curl --max-time 30 --connect-timeout 10 -sk -X "DEBUG" "https://target.com$ep" -o /dev/null -w "DEBUG — %{http_code}\n"
done
Phase 2 — Route Shadowing
# Legacy routes that bypass modern middleware
for path in "/api/v0/" "/api/v1/" "/api/legacy/" "/api/internal/" "/api/beta/" \
"/api/mobile/" "/api/partner/" "/api/integration/" "/api/webhook/"; do
curl --max-time 30 --connect-timeout 10 -sk "https://target.com${path}users" -w "%{http_code} — $path\n" -o /dev/null
done
# ffuf for route discovery
ffuf -u "https://target.com/api/FUZZ/users" \
-w /path/to/prefixes.txt \
-mc 200,301,401,403
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 · 156 lines · 25 tokens per session scan A bd1adacad710
hunt-broken-function-level-auth is a skill published in the GitHub repository uphiago/recon-skills (1,254 stars, last pushed 10d ago), licensed MIT. It adds 25 tokens to every session and 1,656 once invoked, about $0.0001 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
exploiting-broken-function-level-authorization
Tests APIs for Broken Function Level Authorization (BFLA) vulnerabilities where regular users can invoke administrative functions or access privileged API endpoints by directly calling them. The tester identifies admin and privileged endpoints, then attempts to access them with regular user credentials by manipulating…
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.
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-cloud-dlp-for-data-protection
Implementing Cloud Data Loss Prevention (DLP) using Amazon Macie, Azure Information Protection, and Google Cloud DLP API to discover, classify, and protect sensitive data across cloud storage, databases, and data pipelines.
implementing-cloud-trail-log-analysis
Implementing AWS CloudTrail log analysis for security monitoring, threat detection, and forensic investigation using Athena, CloudWatch Logs Insights, and SIEM integration to identify unauthorized access, privilege escalation, and suspicious API activity.