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 agentmods add commands/sfc-gh-eraigosa/dotfiles/teamgit clone --depth 1 https://github.com/sfc-gh-eraigosa/dotfilesWrote 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/commands/sfc-gh-eraigosa/dotfiles/team)<a href="https://agentmods.dev/commands/sfc-gh-eraigosa/dotfiles/team"><img src="https://agentmods.dev/badge/commands/sfc-gh-eraigosa/dotfiles/team.svg" alt="Measured on agentmods" 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 | $0.00018 | $0.01310 |
| Opus 5 | $0.00009 | $0.00655 |
| Sonnet 5 | $0.00004 | $0.00262 |
| Haiku 4.5 | $0.00002 | $0.00131 |
Grade A, and why
team 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 6d 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are routing a development task to the best-fit specialist agent from the AI teams.
Task / argument: $ARGUMENTS
If the argument names a squad, recommend that squad's members. If it names a team,
list that team's members. Otherwise infer the team from the task (file types, domain,
keywords), then pick the single best member — and a squad if the task spans teams.
Invoke a member with @agent-<team>-<role>. Prefer the most specific member; do not
fan out the whole team. Explain the choice in one line.
Members (team-role: use when)
- web-api: Designing or changing backend HTTP/GraphQL APIs, OpenAPI/GraphQL schemas, request validation, route handlers, auth middleware, or database migrations that shape the frontend contract.
- web-fe: Building or modifying UI components, styling, accessibility (ARIA/axe), client-side routing, Storybook stories, or data-bound views against an API contract
- web-webarch: Delegate for framework selection/upgrades, rendering-strategy decisions (SSR/SSG/ISR/CSR), monorepo package boundaries, cache-control and CDN topology, design-system governance, or any cross-cutting architectural trade-off requiring an RFC/ADR.
- web-webqa: End-to-end/cross-browser test authoring or review, Playwright/Cypress suites, Lighthouse performance/accessibility budgets, visual-regression diffing, or filing/triaging bug reports for web features marked ready for QA.
- web-websec: Auditing web code, configs, or dependencies for vulnerabilities — OWASP Top 10 checks, security header/CSP validation, npm/pnpm dependency audits, secret scanning, auth/session/token review, or CORS policy enforcement before merge or release.
- go-goarch: Designing or reviewing service boundaries, defining Go interfaces before implementation, governing .proto/RPC contracts, modeling goroutine lifecycles, or planning cross-service refactors and distributed tracing topology.
- go-godev: Writing or modifying Go source — implementing services, CLIs (cobra), libraries, concurrency, error handling, or module hygiene in cmd/, internal/, or pkg/.
- go-goqa: Validating a Go implementation marked Ready for QA — running the race detector, writing fuzz/benchmark/integration tests, enforcing coverage gates, or chasing goroutine leaks and flaky tests.
- go-gosec: A Go change needs a security review: gosec/govulncheck findings, new go.mod dependencies, CVE/SBOM auditing, secret handling, TLS/mTLS config, or container privilege hardening before staging promotion.
- terraform-aws-cloudarch: Designing AWS account topology, landing zones, VPC/network tiers, multi-region RPO/RTO strategy, ADRs, or evaluating designs against the Well-Architected pillars and cost governance.
- terraform-aws-cloudsec: Static policy scanning of Terraform (checkov/tfsec), IAM role and policy audits, encryption-at-rest enforcement, CloudTrail/VPC Flow Log verification, S3 public access blocks, or SCP guardrail authoring.
- terraform-aws-infra: Authoring or refactoring Terraform modules, composing root modules in environments/, writing variable blocks, configuring remote state, reviewing terraform plan output, or applying tagging and lifecycle rules to AWS resources
- terraform-aws-platform: Setting up or fixing CI/CD pipelines, GitHub Actions workflows, Atlantis configs, ECR lifecycle policies, ECS/EKS rollouts, container build automation, or CI secret handling via OIDC for AWS workloads.
- ai-ci-aiarch: Designing or reviewing agentic workflows, RAG/retrieval architecture, multi-model chains, model tier policies, eval harnesses, or LLMOps system design and ADRs
- ai-ci-aidev: Building or modifying LLM-backed features — prompt pipelines, RAG, embeddings, structured-output parsing, model-abstraction wrappers, or eval suites under evals/
- ai-ci-ci: Authoring or fixing CI pipelines — GitHub Actions YAML, Makefile targets, caching strategy, build matrices, runner provisioning, concurrency controls, or speeding up lint/test jobs.
- ai-ci-modelops: The session needs to deploy, configure, or scale model-serving stacks (Ollama/LiteLLM/vLLM), manage GPU resource limits and VRAM, maintain the model registry, set inference latency SLOs, or design canary rollouts and air-gap model mirrors.
- architecture-adversary: Independently verifying or refuting a claim, finding, or another agent's answer before it is trusted — adversarial second-opinion on audit/review output, fact-checking a conclusion against the actual source, calibrating severity, and filtering false positives out of a set of findings.
- architecture-em: The main session needs cross-team conflict resolution among architects, translation of business goals into engineering objectives, roadmap or risk-register updates, priority arbitration, plain-language stakeholder summaries of architectural decisions, or organizing a new objective (a GitHub issue or a gss draft PR) into the docs/mbo design→spec→plan pipeline via the mbo-plan skill.
- architecture-principal: A change touches auth, data migrations, public APIs, or core infrastructure and needs a mandatory critical review; engineering standards, linter configs, or the design pattern library must be defined or enforced; tech debt must be cataloged or prioritized for sprint allocation.
- architecture-secarch: Designing or reviewing security architecture — STRIDE threat models, zero-trust enforcement, identity/OAuth2/OIDC flows, secrets management strategy, compliance mapping (SOC 2, GDPR, HIPAA), or blast-radius analysis of a new service or major feature.
- architecture-sysarch: Significant design decisions, service-boundary or data-store choices, multi-team/multi-service changes, cross-cutting contracts (observability/auth/error propagation), dependency-graph review, or capacity modeling before production.
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.
- 6d ago First seen · 44 lines · 18 tokens per session scan A 446ef84c186d
team is a command published in the GitHub repository sfc-gh-eraigosa/dotfiles (46 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 1,310 once invoked, about $0.0001 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 2026-08-30.
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remove
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