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 ashish7802/awesome-api-skills --skill rendergit clone --depth 1 https://github.com/ashish7802/awesome-api-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/ashish7802/awesome-api-skills/render)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/render"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/render/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/ashish7802/awesome-api-skills/render"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/render.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00523 |
| Opus 5.5 | $0.00000 | $0.00209 |
| Sonnet 5.5 | $0.00000 | $0.00105 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
render 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 1mo 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Render API Skill
Quick Start
Render offers Web Services, Static Sites, and managed PostgreSQL/Redis. The Render REST API allows you to automate infrastructure scaling, deploys, and service creation.
# Standard fetch/axios is used for REST API
Common Workflows
Blue/Green Deployments
While Render handles zero-downtime deploys natively, you can use the REST API to explicitly create a staging Web Service, wait for it to report live, and then update custom routing rules or swap DNS.
Production Patterns
Auto-Scaling
While Render supports native auto-scaling, you can implement custom metric-driven scaling by monitoring Datadog metrics and calling the Render API PATCH /services/{serviceId} to dynamically adjust instances.
Error Recovery
Handle HTTP 422 for configuration validation errors and HTTP 429 for rate limits. Monitor the deployId status endpoint and rollback manually if the status transitions to build_failed.
Security Notes
Render API tokens are highly privileged. Use Infrastructure as Code (like Terraform with the Render provider) to manage production configurations safely rather than raw API calls where possible.
Performance Considerations
API responses containing lists of services or deploys are paginated. Always respect the cursor in the query parameters to fetch complete datasets.
Testing Guidance
Use the Preview Environments feature integrated with GitHub rather than manually creating transient services via the API for testing.
Troubleshooting
If a Web Service deploys but is unreachable, verify the 'Start Command' is correct and that the app binds to 0.0.0.0.
References
Related Skills
Why use this skill
Use this when your agent works with render — structured patterns beat pasted docs and prevent common hallucinations.
AI pitfalls
- Using outdated SDK or API versions from training data
- Inventing environment variable names
- Omitting error handling and retry logic
What ships with it
7 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.
- 1mo ago First seen · 59 lines · 0 tokens per session scan A f32cd4cf6e39
render is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 523 tokens. 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 2026-09-03.
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