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 sentrygit 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/sentry)<a href="https://agentmods.dev/skills/ashish7802/awesome-api-skills/sentry"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/sentry/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/sentry"><img src="https://agentmods.dev/badge/skills/ashish7802/awesome-api-skills/sentry.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 | $0.00517 |
| Opus 5 | $0.00000 | $0.00259 |
| Sonnet 5 | $0.00000 | $0.00103 |
| Haiku 4.5 | $0.00000 | $0.00052 |
Grade A, and why
sentry 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 5d 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 — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sentry API Skill
Overview
Sentry tracks exceptions, traces, and crashes. This skill covers the @sentry/node integration for backend error capturing and the Sentry REST API for release management.
Installation
npm install @sentry/node @sentry/profiling-node
pip install sentry-sdk
Authentication
Client SDKs use a DSN (Data Source Name). The REST API uses a Bearer token generated from the Sentry Auth token settings.
Core Concepts
- DSN: The ingestion endpoint URL.
- Release: A version of your code attached to events for regression tracking.
- Transaction: A logical grouping of spans for performance tracing.
Common Workflows
- Call
Sentry.init({ dsn })early in the application lifecycle. - Wrap controllers or use framework middleware.
- Call
Sentry.captureException(error)for handled exceptions.
Error Handling
The Sentry SDK fails silently on network errors so it does not crash your application.
Security
Use the beforeSend hook to scrub PII (Passwords, SSNs, Auth Tokens) before the payload leaves your server.
Rate Limits
Event ingestion is limited by your organization's quota. Exceeding it results in dropped events (HTTP 429).
Best Practices
Always set the release and environment tags during Sentry.init to enable accurate issue tracking across deployments.
Troubleshooting
If source maps aren't working, ensure the @sentry/cli or Webpack plugin uploaded the artifacts for the exact release string matching your deployed code.
References
Why use this skill
Use this when your agent works with sentry — 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
Production checklist
- Secrets in environment variables, not source code
- Error handling and logging in place
- Rate limits and timeouts configured
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.
- 5d ago First seen · 63 lines · 0 tokens per session scan A 34bc92c1dab9
sentry is a skill published in the GitHub repository ashish7802/awesome-api-skills (13 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 517 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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