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 transilienceai/communitytools --skill infragit clone --depth 1 https://github.com/transilienceai/communitytoolsWrote 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/transilienceai/communitytools/infra)<a href="https://agentmods.dev/skills/transilienceai/communitytools/infra"><img src="https://agentmods.dev/badge/skills/transilienceai/communitytools/infra/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/transilienceai/communitytools/infra"><img src="https://agentmods.dev/badge/skills/transilienceai/communitytools/infra.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00040 | $0.00461 |
| Opus 5.5 | $0.00016 | $0.00184 |
| Sonnet 5.5 | $0.00008 | $0.00092 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
techstack-infra scanned grade A with 0 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 1mo 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Infrastructure Tech-Stack Identification
Scope
Identify the hosting and operational layer: cloud providers (AWS/GCP/Azure/DO/Linode/Vultr), PaaS (Heroku/Vercel/Netlify/Render/Railway/Fly), CDN (Cloudflare/Akamai/Fastly/CloudFront/Azure CDN), WAF (Imperva/Sucuri/F5/Fortinet), DNS provider, certificate authority, DevOps tooling (CI/CD, IaC, containers, orchestration), and the asset inventory (root domain, subdomains, IPs, certificates) that the rest of the engagement consumes.
Signals (input)
- IP attribution (cloud IP ranges, ASN, WHOIS)
- DNS records: A, AAAA, MX, TXT, NS, CNAME, SRV
- TLS certificate metadata (issuer, SAN, validity, JARM)
- CT logs (crt.sh)
- HTTP headers tagging cloud/CDN/WAF
- Repository config files (
*.tf,Dockerfile,.github/workflows/*,Chart.yaml, etc.) - Asset inventory feeds — initial domain, subdomain enumeration, IP map
Inferences (output)
- Primary cloud provider + region(s)
- PaaS / serverless / container orchestration
- CDN, WAF, DDoS / bot-management products
- DNS service, email provider, SaaS verifications (TXT)
- Certificate issuer & posture (automation, wildcard, validity window)
- DevOps stack: CI/CD platform, containerization, IaC, monitoring, secret mgmt
- Asset list: validated primary domain, all subdomains, IPs with cloud attribution
Techniques
When to use
- First step of every tech-stack engagement (asset inventory feeds all other domains)
- Identifying CDN/WAF before choosing exploitation paths
- CVE matching by server stack version
- Supply-chain / SaaS exposure mapping (DNS verifications)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 42 lines · 40 tokens per session scan A 9f6d272efe0f
techstack-infra is a skill published in the GitHub repository transilienceai/communitytools (591 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 461 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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