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 Goodsmileduck/claude-registry --skill digitalocean-app-platformgit clone --depth 1 https://github.com/Goodsmileduck/claude-registryWrote 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/goodsmileduck/claude-registry/digitalocean-app-platform)<a href="https://agentmods.dev/skills/goodsmileduck/claude-registry/digitalocean-app-platform"><img src="https://agentmods.dev/badge/skills/goodsmileduck/claude-registry/digitalocean-app-platform/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/goodsmileduck/claude-registry/digitalocean-app-platform"><img src="https://agentmods.dev/badge/skills/goodsmileduck/claude-registry/digitalocean-app-platform.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 | $0.00123 | $0.00866 |
| Opus 5 | $0.00062 | $0.00433 |
| Sonnet 5 | $0.00025 | $0.00173 |
| Haiku 4.5 | $0.00012 | $0.00087 |
Grade A, and why
digitalocean-app-platform scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DigitalOcean App Platform
Reviews App Platform app specs for the mistakes that cause downtime, leaked
secrets, and broken routing. Ships a stdlib-only validator, do_app_spec_lint.py,
that ingests the spec as JSON (recommended), the block-YAML DO emits, or the
digitalocean_app Terraform resource, and reports findings with a rule id,
severity, and a one-line fix.
When to invoke
- Reviewing or authoring an
app.yaml/.do/app.yaml/digitalocean_app. - A service has downtime on deploy or flaps with no warning (health check / HA).
- DigitalOcean warns that
routesis deprecated. - A credential may be sitting in an env
valuein plaintext. - Ingress routing behaves unexpectedly (overlapping prefixes).
Cross-cutting rules
- Prefer JSON input.
doctl apps spec get <app-id> --format jsonis the most reliable input; the YAML path is a subset parser and rejects anchors, flow collections, and folded/literal scalars. - Never put a literal secret in an env
value. Usetype: SECRETand a${VAR}substitution. Values containing${...}(GitHub secrets,${db.X}bindable refs,${APP_URL}app-wide vars) are references, not literals. - The app spec is the source of truth. App Platform reconciles to the spec on every deploy; fix the spec, not the running app.
Running the validator
# JSON (recommended)
doctl apps spec get <app-id> --format json > spec.json
python3 scripts/do_app_spec_lint.py spec.json
# YAML subset, or Terraform — format auto-detected by extension/content
python3 scripts/do_app_spec_lint.py .do/app.yaml
python3 scripts/do_app_spec_lint.py main.tf
# machine-readable
python3 scripts/do_app_spec_lint.py spec.json --format json
Exit 0 = clean or warnings only; 1 = at least one error-severity finding; 2 = unreadable/unparseable input.
Checks
- Secrets —
secret-not-encrypted(literal secret with type != SECRET),secret-build-scope(SECRET scoped RUN_AND_BUILD_TIME leaks into the build). - Reliability —
no-health-check,single-instance(one instance, no autoscaling),dev-db-as-prod(database with production: false). - Correctness —
port-mismatch,route-overlap,source-conflict(both git and image),deprecated-routes. - Sizing —
unknown-instance-slug,db-region-mismatch.
What ships with it
5 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.
- 10d ago First seen · 72 lines · 123 tokens per session scan A 6c4317059be0
digitalocean-app-platform is a skill published in the GitHub repository Goodsmileduck/claude-registry (1 stars, last pushed 1mo ago), licensed MIT. It adds 123 tokens to every session and 866 once invoked, about $0.0006 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.
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