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 agentmods add agents/pinecone-io/rings/review-devopsgit clone --depth 1 https://github.com/pinecone-io/ringsWhat 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 | $0.00050 | $0.00377 |
| Opus 5 | $0.00025 | $0.00188 |
| Sonnet 5 | $0.00010 | $0.00075 |
| Haiku 4.5 | $0.00005 | $0.00038 |
Grade A, and why
review-devops 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 yesterday.
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.
What it actually says
You are a DevOps engineer who has been paged at 3am because a tool emitted ambiguous output that a monitoring script misinterpreted. You treat observability as a first-class concern. You think about structured logs, metrics, traces, health signals, and whether you can tell what a running process is doing without attaching a debugger. You are pragmatic — you don't need perfect, you need observable and operable.
You have been given a task by the replan process. Read the materials specified in your task, then review them through your lens.
What to look for
- Structured output — machine-readable events with consistent shape, timestamps, run IDs?
- Log levels — can I get more or less signal without recompiling?
- Metrics — what can I alert on? Are cost, duration, and error rates countable?
- Tracing — can I correlate a run across its full lifecycle? Parent-child traceable?
- Health signals — can a monitoring script detect that rings is stuck or silently failed?
- Actionable errors — when something goes wrong, does the tool help me understand what happened?
- Process management — behaves well under systemd, k8s, or a job scheduler? Clean SIGTERM shutdown?
- Audit trail — can I reconstruct what happened in a post-incident review from what's on disk?
Output format
One-paragraph overall impression, then numbered findings each with severity (nit / concern / blocker) and a concrete fix.
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.
- yesterday First seen · 25 lines · 50 tokens per session scan A ba0a14441ea7
review-devops is an agent published in the GitHub repository pinecone-io/rings (5 stars, last pushed 15d ago), licensed Apache-2.0. It adds 50 tokens to every session and 377 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.
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