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 alexei-led/architect --skill tools-infra-operationalgit clone --depth 1 https://github.com/alexei-led/architectWrote 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/alexei-led/architect/tools-infra-operational)<a href="https://agentmods.dev/skills/alexei-led/architect/tools-infra-operational"><img src="https://agentmods.dev/badge/skills/alexei-led/architect/tools-infra-operational/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/alexei-led/architect/tools-infra-operational"><img src="https://agentmods.dev/badge/skills/alexei-led/architect/tools-infra-operational.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 | $0.00093 | $0.01151 |
| Opus 5 | $0.00046 | $0.00575 |
| Sonnet 5 | $0.00019 | $0.00230 |
| Haiku 4.5 | $0.00009 | $0.00115 |
Grade A, and why
tools-infra-operational 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 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.
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.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Infrastructure / operational tools
A system's architecture includes how it deploys and runs. These tools turn manifests into evidence about deploy units, runtime topology, deploy-time coupling, and supply-chain risk — the operational and security dimensions a source-only review would miss.
Evidence dimensions: operational and security/supply-chain.
When to use
Use when the system map finds Helm charts, Kustomize bases, raw k8s manifests, Terraform/OpenTofu, Dockerfiles, CI workflows, policy files, or SBOM/vulnerability scan inputs. Render and validate before judging — a chart's values determine the real topology, not the template text. Never apply, deploy, delete, or destroy infrastructure unless the user explicitly approves that separate action.
Commands
# Helm: render to final manifests, then lint
helm template ./chart -f values.yaml | kubeconform -strict -
helm lint ./chart
# Kustomize: build the overlay, then validate
kustomize build overlays/prod | kubeconform -strict -
# Kubernetes manifests: schema + best-practice validation
kubeconform -strict -summary manifests/
kube-linter lint manifests/
# Terraform / OpenTofu: structure + static security
TF_DATA_DIR=${TMPDIR:-/tmp}/terraform-data terraform init -backend=false -input=false -lockfile=readonly
terraform validate # or: tofu validate
tflint --recursive
tfsec . # or: trivy config .
# Docker: image config / Dockerfile lint
hadolint Dockerfile
trivy config Dockerfile
# GitHub Actions: workflow lint + pinned-action / permission checks
actionlint
zizmor .github/workflows # supply-chain audit of workflows
# Policy as code (if the repo uses it)
conftest test manifests/ -p policy/
opa eval ...
# SBOM + dependency vulnerabilities
syft dir:. -o spdx-json
grype dir:. # or: trivy fs .
Evidence output
Record:
dimension: operational or security/supply-chain.source: command, deploy unit, values/overlay/backend context, and scanner DB date when relevant.facts: rendered topology, validation findings, policy violations, vuln/SBOM summary, or clean scope.limits: unrendered templates, missing values, offline/stale scanner DB, or no cluster-runtime evidence.
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 · 121 lines · 93 tokens per session scan A d0bf18dbc0a5
tools-infra-operational is a skill published in the GitHub repository alexei-led/architect (2 stars, last pushed 1mo ago), licensed MIT. It adds 93 tokens to every session and 1,151 once invoked, about $0.0005 per session on Opus 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 2026-08-31.
Other skills, from other repositories
git-workflow
This skill should be used when the user asks to "create git commit", "manage branches", "follow git workflow", "use Conventional Commits", "handle merge conflicts", or asks about git branching strategies, version control best practices, pull request workflows. Provides comprehensive Git workflow guidance for team…
daily-paper-generator
Use when the user asks to generate daily paper digests on a general topic. This skill supports both arXiv and bioRxiv (or either one), then produces structured Chinese/English summaries for selected papers.
brooks-sweep
Full-sweep mode: runs a unified analysis across all quality dimensions — code decay, architecture, tech debt, and test quality — then applies fixes directly to the codebase. Safe changes are auto-applied; risky changes are confirmed before execution. Drawing on twelve classic engineering books. Triggers when: user…
codex-autoresearch
Run autonomous, measurable experiments in a Git repository: change one hypothesis, verify a numeric metric, keep improvements, and revert failures. Use when the user wants Codex to keep iterating toward a numeric target in the foreground or as a detached background run. Do not use for ordinary one-shot coding…
neo4j-modeling-skill
Design, review, and refactor Neo4j graph data models. Use when choosing node labels vs relationship types vs properties, migrating relational/document schemas to graph, detecting anti-patterns (generic labels, supernodes, missing constraints), designing intermediate nodes for n-ary relationships, enforcing schema with…
clipboard
Copy text to clipboard with optional rich formatting. Triggers on "copy to clipboard", "copy that", "pbcopy", "copy formatted", "copy rich text".