OpenSEO is an open-source SEO platform for keyword research, rank tracking, competitor analysis, backlink analysis, site audits, and AI visibility work. It connects SEO data to AI agents through an MCP server and reusable agent skills, while allowing users to supply their own DataForSEO API key and self-host the tool. Catalogue add-ons guide agents through OpenSEO's SEO workflows.
Borrowing it
Nothing to install: this file belongs to every-app/open-seo. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/every-app/open-seo/main/.agents/skills/observability-triage/SKILL.mdgit clone --depth 1 https://github.com/every-app/open-seoWrote 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/every-app/open-seo/observability-triage)<a href="https://agentmods.dev/skills/every-app/open-seo/observability-triage"><img src="https://agentmods.dev/badge/skills/every-app/open-seo/observability-triage.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 14 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00070 | $0.01708 |
| Opus 5 | $0.00035 | $0.00854 |
| Sonnet 5 | $0.00014 | $0.00342 |
| Haiku 4.5 | $0.00007 | $0.00171 |
Grade A, and why
observability-triage scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Query via the `cloudflare-api` MCP server (`mcp__cloudflare-api__execute`). If its tools are absent, run its authenticate flow and give the user the URL — **wrangler's OAuth token gets a 403 on the observability API** How it starts
The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Observability triage
Query Cloudflare Workers Observability for prod errors, count them correctly, and skip the noise that has already been investigated to a dead end. Apply the known-noise list below without re-investigating those entries.
Access
- Resolve the account at runtime — never hardcode it: the
cloudflare-apiMCP server pre-bindsaccountIdinmcp__cloudflare-api__execute, andnpx wrangler whoamiprints it. The workers to triage are the ones this repo deploys (seealchemy.run.ts): the main app worker plus the aux workers (audit engine, landing, self-host). - Query via the
cloudflare-apiMCP server (mcp__cloudflare-api__execute). If its tools are absent, run its authenticate flow and give the user the URL — wrangler's OAuth token gets a 403 on the observability API (missing scope), so don't burn time on curl-with-wrangler-token. - PostHog is the second error source but cannot see
exceededMemory/canceled/responseStreamDisconnectedoutcomes — worker-outcome questions are answerable only here.
Query recipes (verified shapes)
POST /accounts/{account_id}/workers/observability/telemetry/query. All of these are load-bearing; the API's 400s are opaque:
-
queryId: "adhoc"is required. Timeframe is epoch milliseconds:timeframe: { from, to }. -
Count invocations by outcome:
{ "queryId": "adhoc", "timeframe": { "from": 0, "to": 0 }, "parameters": { "datasets": ["cloudflare-workers"], "filters": [ { "key": "$metadata.type", "operation": "eq", "value": "cf-worker-event", "type": "string" } ], "calculations": [{ "operator": "count", "alias": "count" }], "groupBys": [ { "value": "$workers.scriptName", "type": "string" }, { "value": "$workers.outcome", "type": "string" } ], "limit": 100 }, "view": "calculations", "limit": 100 } -
The
cf-worker-eventfilter is what makes counts mean invocations; without it you count every log line. -
Raw samples:
view: "events", emptycalculations/groupBys, smalllimit. Events carry$metadata(service,trigger,level,message,fingerprint,requestId) and$workers(outcome,scriptName,scriptVersion,wallTimeMs,cpuTimeMs,eventType). -
Error-level app logs grouped by message: filter
$metadata.level eq error, groupBy$metadata.message. -
Verified filter operations:
eq,neq. Percentiles: the API wants"median", not"p50". Filter for substrings client-side on fetched events. -
Useful drill-downs: groupBy
$metadata.trigger(route),$workers.scriptVersion(did a deploy change the rate mid-window),$workers.event.request.headers.user-agent.
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 · 84 lines · 70 tokens per session scan A 4d79ed3da073
observability-triage is a skill published in the GitHub repository every-app/open-seo (17,561 stars, last pushed 4d ago), licensed MIT. It adds 70 tokens to every session and 1,708 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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