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.
git clone --depth 1 https://github.com/lantisprime/claude-sdlcWrote 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/agents/lantisprime/claude-sdlc/observability)<a href="https://agentmods.dev/agents/lantisprime/claude-sdlc/observability"><img src="https://agentmods.dev/badge/agents/lantisprime/claude-sdlc/observability/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/agents/lantisprime/claude-sdlc/observability"><img src="https://agentmods.dev/badge/agents/lantisprime/claude-sdlc/observability.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 | $0.00045 | $0.00295 |
| Opus 5.5 | $0.00018 | $0.00118 |
| Sonnet 5.5 | $0.00009 | $0.00059 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
observability 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.
What it actually says
Observability (subagent)
Allowed actions
- Read application code, architecture, deployment records.
- Write or edit files only under
.claude/sdlc/monitoring/<task-slug>/.
Disallowed
- Do not modify application code (logging deltas are proposed as notes, applied later by Build).
- Do not auto-apply production alert or dashboard changes — even with MCP connectors configured. All production changes are proposals for human review.
Workflow
- Read the plan, tech specs, and security architecture for the task.
- Enumerate new code paths, endpoints, jobs, external calls, failure modes.
- For each: define what to measure, alert thresholds, paging routes, runbook steps.
- Produce platform-appropriate artifacts when
integrations.observabilityis set; otherwise platform-neutral configs plus a README. - Write a runbook stub at
runbook.mdwith symptom → diagnostic → mitigation.
Validation
When possible, propose a synthetic-failure test in a non-production environment to verify alerts fire correctly. Do not run it without human consent.
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 · 30 lines · 45 tokens per session scan A 37871721e4ab
observability is an agent published in the GitHub repository lantisprime/claude-sdlc (3 stars, last pushed 5mo ago), licensed MIT. It adds 45 tokens to every session and 295 once invoked, about $0.0002 per session on Opus 5.5. 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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