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 skills/ahmad2x4/mcp-server-seq/seq-opsnpx skills add ahmad2x4/mcp-server-seq --skill seq-opsgit clone --depth 1 https://github.com/ahmad2x4/mcp-server-seqWrote 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/ahmad2x4/mcp-server-seq/seq-ops)<a href="https://agentmods.dev/skills/ahmad2x4/mcp-server-seq/seq-ops"><img src="https://agentmods.dev/badge/skills/ahmad2x4/mcp-server-seq/seq-ops.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01392 |
| Opus 5 | $0.00000 | $0.00696 |
| Sonnet 5 | $0.00000 | $0.00278 |
| Haiku 4.5 | $0.00000 | $0.00139 |
Grade A, and why
seq-ops 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.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Seq Operations
You have three tools from the seq MCP server:
| Tool | Purpose |
|---|---|
seq:get_alert_state |
Current state of all configured alerts (firing / ok / suppressed) |
seq:get_signals |
List saved named filters — call this early to discover available signal IDs |
seq:get_events |
Query structured log events with filters, time ranges, and pagination |
Setup (for users installing this skill)
claude mcp add --transport stdio \
--env SEQ_BASE_URL=http://localhost:5341 \
--env SEQ_API_KEY=your-api-key \
seq -- npx -y mcp-seq
Investigation Workflow
Follow this sequence — don't jump straight to events without first knowing what signals exist.
Step 1 — Orient
Always start here:
seq:get_alert_state→ any currently firing alerts?seq:get_signals→ what named filters exist? Note their IDs — they're your shortcuts.
Step 2 — Scope
Pick a time range based on what you know:
- Vague request ("check the system") →
range: "4h" - Active incident reported N minutes ago →
range: "1h"or tighter - Post-deployment → target the window after the deploy time
Step 3 — Query
When investigating a reported symptom, start by searching for the literal terms the user mentioned before expanding. If someone says "timeout errors", first run:
filter: @Message like '%timeout%' or @Exception like '%TimeoutException%'
This grounds your investigation in what was actually reported and avoids missing the specific thing that triggered the alert.
Then broaden — even when focused on a named service, always run a parallel broad error query for the same timeframe:
# Literal symptom first (match what was reported)
filter: @Message like '%<symptom>%'
# Targeted service query
filter: @Level in ['Error', 'Fatal'] and Application = 'my-service'
# Broad sweep — same window, all services
filter: @Level in ['Error', 'Fatal']
range: "1h"
The service the user names is often a red herring or just one part of a larger incident. Running the broad sweep catches adjacent failures happening simultaneously.
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.
- 4d ago First seen · 164 lines · 0 tokens per session scan A a4a8c97d280a
seq-ops is a skill published in the GitHub repository ahmad2x4/mcp-server-seq (13 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,392 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 2026-08-30.
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