Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add SyntaxArc/archipy-plugin/plugin install archipyWrote 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/syntaxarc/archipy-plugin/scaffold-archipy-health-checks)<a href="https://agentmods.dev/skills/syntaxarc/archipy-plugin/scaffold-archipy-health-checks"><img src="https://agentmods.dev/badge/skills/syntaxarc/archipy-plugin/scaffold-archipy-health-checks/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/syntaxarc/archipy-plugin/scaffold-archipy-health-checks"><img src="https://agentmods.dev/badge/skills/syntaxarc/archipy-plugin/scaffold-archipy-health-checks.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 | $0.00050 | $0.01675 |
| Opus 5 | $0.00025 | $0.00838 |
| Sonnet 5 | $0.00010 | $0.00335 |
| Haiku 4.5 | $0.00005 | $0.00168 |
Grade A, and why
scaffold-archipy-health-checks 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 3d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffold ArchiPy Health Checks
Before writing files
- Inspect package/config, current transports, app lifecycle, dependency adapters, DI wiring, deployment manifests, and existing health endpoints.
- Infer package name, transport, ports, and readiness dependencies from the repository.
- Ask only for unresolved choices: dependencies to include, heartbeat deadlock detection, or Kubernetes YAML.
- Preserve existing health routes and manifests; merge compatible additions instead of overwriting.
Prefer ArchiPy
Health checks are app code. ArchiPy does not ship stock HTTP routes or a stock gRPC Health servicer.
Probe semantics (liveness vs readiness vs startup, K8s notes, common mistakes, FastAPI sketches): keep
../archipy-docs/reference.md § Health checks as the source of truth — do not invent alternate probe meanings or
duplicate endpoint sketches here.
uv add "archipy[fastapi]" # HTTP probes
uv add "archipy[grpc]" # gRPC server + grpcio-health-checking
Prefer existing app bootstrap:
from archipy.helpers.utils.app_utils import AppUtils
from archipy.configs.base_config import BaseConfig
# FastAPI
app = AppUtils.create_fastapi_app()
app.include_router(create_health_v1_router(container))
# gRPC (sync)
server = AppUtils.create_grpc_app(BaseConfig.global_config())
# register domain servicers, then health:
register_health_servicer(server, container)
# gRPC (async)
server = AppUtils.create_async_grpc_app(BaseConfig.global_config())
Do not hand-roll bare FastAPI() / grpc.server() when AppUtils is in use. Do not mix sync and async gRPC servicer
styles on one server.
Generate
Resolve files under reference/ relative to this SKILL.md in the plugin installation
($CURSOR_PLUGIN_ROOT/skills/scaffold-archipy-health-checks/ or
$CLAUDE_PLUGIN_ROOT/skills/scaffold-archipy-health-checks/). These are plugin templates, not app-relative paths. Copy
and adapt them into the app; never edit the plugin copies.
<package>/services/health/v1/
├── health_checks.py # shared readiness helpers (deps, warm-up, shutdown)
├── health_service.py # FastAPI — when HTTP requested
└── health_grpc_service.py # gRPC HealthServicer wiring — when gRPC requested
deploy/
└── k8s-probes.yaml # optional (httpGet and/or grpc probes)
What ships with it
2 files 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.
- 3d ago Changed · +4 lines bcb4a8c3bff5
- 11d ago First seen · 167 lines · 50 tokens per session scan A f7b1b4e0914e
scaffold-archipy-health-checks is a skill published in the GitHub repository SyntaxArc/archipy-plugin (2 stars, last pushed 3d ago), licensed MIT. It adds 50 tokens to every session and 1,675 once invoked, about $0.0003 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
fastapi-templates
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.
telnyx-numbers-python
Search, order, and manage phone numbers by location, features, and coverage.
telnyx-ai-outbound-voice-python
End-to-end setup for making a Telnyx AI assistant call a phone number. Covers provisioning a phone number, creating a TeXML application, assigning the number, configuring telephony settings, whitelisting destination countries, and triggering outbound calls via scheduled events. Use this skill (not…
module-scaffold
Given a component name, generate a complete standalone ODH module operator repository. Produces Go module, CRD types implementing PlatformObject, controller skeleton with reconciler builder pattern, Helm chart, Makefile, CI config, singleton webhook, and AGENTS.md. Use when starting a new module from scratch.
specx-component-architecture
Design or review specx core scope boundaries in Python services. Use when deciding where code belongs across packaged scoped foundation bases, optional local foundation extensions, core/, capabilities, delivery, infrastructure, shared/, and ioc; when adding guardrails or splitting use cases, services, DTOs, schemas…
specx-project-structure
Create or reshape a Python FastAPI service repo into the specx clean core/delivery architecture using packaged scoped foundation bases. Use when starting an API backend, adding the first src package, or establishing AGENTS.md, core/, optional local foundation/, delivery/, infrastructure, ioc/, migrations, and tests.