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 svngoku/coding-agents-skills --skill scalingogit clone --depth 1 https://github.com/svngoku/coding-agents-skillsWrote 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/svngoku/coding-agents-skills/scalingo)<a href="https://agentmods.dev/skills/svngoku/coding-agents-skills/scalingo"><img src="https://agentmods.dev/badge/skills/svngoku/coding-agents-skills/scalingo/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/svngoku/coding-agents-skills/scalingo"><img src="https://agentmods.dev/badge/skills/svngoku/coding-agents-skills/scalingo.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 | $0.00170 | $0.04578 |
| Opus 5.5 | $0.00068 | $0.01831 |
| Sonnet 5.5 | $0.00034 | $0.00916 |
| Haiku 4.5 | $0.00017 | $0.00458 |
Grade A, and why
scalingo scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -O https://cli-dl.scalingo.com/install && bash install How it starts
The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scalingo
Scalingo is a European PaaS in the Heroku lineage. You push code (usually via git), the platform builds it with a buildpack, and containers are started according to your Procfile. Managed databases are available as addons. The platform's differentiators are European/French jurisdiction, ISO 27001 / HDS certification, and a region (osc-secnum-fr1) running on SecNumCloud-qualified Outscale infrastructure.
This skill covers the platform end-to-end at a working level: CLI, deployment, addons, scaling, review apps, and IaC. For deep dives on any single topic, consult the references/ files — pointers are given throughout.
When to reach for each reference
The main file stays practical. Pull in a reference when:
references/cli-reference.md— user needs a specific CLI command you don't remember, or wants a full command mapreferences/deployment.md— deploying via non-git methods (GitHub/GitLab integration, tarball archive, WAR), or configuring auto-deployreferences/addons-databases.md— provisioning, connecting to, or operating a managed databasereferences/scaling-autoscaler.md— configuring horizontal/vertical scaling or the autoscaler's metric targetsreferences/manifest-review-apps.md— writing ascalingo.json, configuring review apps, or building a one-click deploy buttonreferences/terraform-iac.md— managing Scalingo resources via the official Terraform providerreferences/buildpacks.md— understanding stacks, picking or chaining buildpacks, writing a custom buildpackreferences/tutorials.md— deploying a well-known tool (Keycloak, PostgREST, WordPress, n8n, Metabase, ModSecurity WAF, Judoscale, Lovable, Whisper, pgvector, OpenSearch RAG, Elastic Stack) following the official Tutorials Hub
Mental model
Three nouns to internalize:
- App — the unit of deployment. Has a name, a region, environment variables, and a git remote. One app = one deployable project. Apps can be grouped into Projects, which also scope Private Networks.
- Process type — a named command from the
Procfile(web,tcp,postdeploy, or anything custom likeworker). Each process type runs in one or more containers. - Addon — a managed service attached to an app (database, cache). Exposes connection details via env vars like
SCALINGO_POSTGRESQL_URL.
What ships with it
13 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.
- eval.yaml 1.3 KB
- graders/check.py 11 KB runs code
- instructions/scalingo-deploy.md 2.6 KB
- references/addons-databases.md 11 KB
- references/buildpacks.md 8.5 KB
- references/cli-reference.md 13 KB
- references/deployment.md 8.1 KB
- references/manifest-review-apps.md 9.1 KB
- references/scaling-autoscaler.md 7.6 KB
- references/terraform-iac.md 12 KB
- references/tutorials.md 15 KB
- rubrics/quality.md 1.2 KB
- solutions/reference-scalingo-deploy 1.8 KB
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 Changed · +21 lines · +2 tokens per session 84f08100316e
- 10d ago Changed 672b8de0db0c
- 1mo ago First seen · 325 lines · 168 tokens per session scan A 5a8b708868d8
scalingo is a skill published in the GitHub repository svngoku/coding-agents-skills (12 stars, last pushed 3d ago), licensed MIT. It adds 170 tokens to every session and 4,578 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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