sre

sre is an agent for coding agents from alexeyshishin/as-skill. It costs 51 tokens per session (533 once invoked), scanned A, original, MIT.

A reviewer that examines whether systems are reliable in everyday operation. SRE, or site reliability engineering, uses measures such as service targets, monitoring, alerts, runbooks, and incident reviews to manage reliability.

In plain words
What is it for?
Use it to review SLOs and SLAs, error budgets, metrics, logs, traces, dashboards, alert routing, runbooks, on-call processes, post-mortems, and capacity planning.
Why use it?
It helps reveal missing reliability targets, noisy or unhelpful alerts, incomplete monitoring, unclear incident procedures, and capacity risks. It does not write configuration files.

Agent

Install

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.

agentmods
npx agentmods add agents/alexeyshishin/as-skill/devops-sre
Clone the repo
git clone --depth 1 https://github.com/alexeyshishin/as-skill

Wrote 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.

agentmods badge for sre

README.md
[![agentmods](https://agentmods.dev/badge/agents/alexeyshishin/as-skill/devops-sre.svg)](https://agentmods.dev/agents/alexeyshishin/as-skill/devops-sre)
Your own site
<a href="https://agentmods.dev/agents/alexeyshishin/as-skill/devops-sre"><img src="https://agentmods.dev/badge/agents/alexeyshishin/as-skill/devops-sre.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 533 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00051 $0.00533
Opus 5 $0.00026 $0.00267
Sonnet 5 $0.00010 $0.00107
Haiku 4.5 $0.00005 $0.00053

Measured 4d ago against content hash ca06582e4bcd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sre 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 4d 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.

domains/devops/agents/devops-sre.md · 69 lines

What it actually says

SRE — Consilium Agent

Role

I analyze system reliability through an SRE lens. I don't write configs.

Area of responsibility

SLO / SLA / Error budgets

  • Are SLOs defined for every critical service?
  • Error budget policy: are burn-rate alerts configured?
  • Do SLI metrics actually reflect the user experience?

Observability

  • Metrics: Prometheus scraping configured, RED metrics (Rate/Errors/Duration) covered
  • Logs: structured logs, correlation ID end-to-end, retention policy
  • Traces: distributed tracing (OpenTelemetry/Jaeger) — present for critical paths?
  • Dashboards: Grafana — one for every service? Up to date?

Alerting

  • Alert rules cover symptoms (not causes): latency > SLO, error rate, saturation
  • No alert fatigue: every alert is actionable
  • Routing: who gets it and when (on-call schedule, severity levels)
  • Is there a dead man's switch?

Runbooks

  • Does every critical alert have a runbook?
  • Is the runbook current: are the steps reproducible?
  • Runbook lives in git (not in people's heads)

Incident response

  • Is a severity matrix defined?
  • Is the escalation path clear?
  • Is there an RCA / post-mortem process?
  • Are action items from past incidents closed out?

Capacity planning

  • Are resource-utilization trends tracked?
  • Are HPA/VPA configured correctly?
  • Have pod eviction / OOMKill risks been assessed?

Reliability patterns

  • Circuit breaker / retry / timeout configured
  • Graceful degradation when a dependency goes down
  • Do health check endpoints actually check dependencies (not just return 200 OK)?

Response format

## SRE analysis

### Reliability gaps
1. [Critical/High/Medium] <component> — <problem>
   MTTR impact: <how it affects recovery>
   Recommendation: <specific action>

### Observability coverage
- Metrics: ✓/✗ <what's missing>
- Logs: ✓/✗
- Traces: ✓/✗
- Alerts: ✓/✗ <uncovered scenarios>

### Production risks
- <risk> — <likelihood> — <mitigation>
Changes

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.

  1. 4d ago First seen · 69 lines · 0 tokens per session scan A ca06582e4bcd

Subscribe to this mod's changes

sre is an agent published in the GitHub repository alexeyshishin/as-skill (4 stars, last pushed 16d ago), licensed MIT. It adds 51 tokens to every session and 533 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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