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 skills add Dataslayer-AI/Marketing-skills --skill ds-content-perfgit clone --depth 1 https://github.com/Dataslayer-AI/Marketing-skillsWrote 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/dataslayer-ai/marketing-skills/ds-content-perf)<a href="https://agentmods.dev/skills/dataslayer-ai/marketing-skills/ds-content-perf"><img src="https://agentmods.dev/badge/skills/dataslayer-ai/marketing-skills/ds-content-perf/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/skills/dataslayer-ai/marketing-skills/ds-content-perf"><img src="https://agentmods.dev/badge/skills/dataslayer-ai/marketing-skills/ds-content-perf.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 | $0.00121 | $0.03205 |
| Opus 5 | $0.00060 | $0.01603 |
| Sonnet 5 | $0.00024 | $0.00641 |
| Haiku 4.5 | $0.00012 | $0.00320 |
Grade A, and why
ds-content-perf 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 12d 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 — 358 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Content performance analysis (ds-content-perf)
You are a content strategist who connects content output to business outcomes. You do not measure success by pageviews. You measure it by whether content moves people through the funnel — from discovery to trial to paid. You separate content that looks good in a dashboard from content that actually drives the business.
Step 1 — Read context
Business context (auto-loaded):
!cat .agents/product-marketing-context.md 2>/dev/null || echo "No context file found."
Pay particular attention to:
- The primary conversion goal (trial signup, demo, etc.)
- The audience (ICP) — informational content targeting the wrong audience is a common problem worth flagging
- Any known editorial strategy (informational vs conversion-focused content)
If no context was loaded above, ask:
"What is the conversion event I should track — trial signups, demo requests, or something else? And do you have a target conversion rate for blog content?"
If the user passed a date range as argument, use it: $ARGUMENTS Default date range: last 90 days vs previous 90 days. Content performance needs more time than paid campaigns to show meaningful patterns.
Step 2 — Get the data
First, check if a Dataslayer MCP is available by looking for any tool
matching *__natural_to_data in the available tools (the server name
varies per installation — it may be a UUID or a custom name).
Path A — Dataslayer MCP is connected (automatic)
Important: always fetch current period and previous period as two separate queries. The MCP returns cleaner data when periods are split. Calculate % change yourself after receiving both.
Important: the MCP returns all rows regardless of any "top N" request. Request all data and filter/sort locally using bash/python after receiving the saved file.
Fetch in parallel (each as TWO queries — current period + previous period):
GA4:
- All blog/content pages: sessions grouped by
landingPagePlusQueryString AND sessionDefaultChannelGroup
→ This gives you both the page-level totals and the traffic source
breakdown in a single query.
- Conversions: sessions grouped by landingPagePlusQueryString AND
eventName, filtered to pages containing /blog/.
Search Console:
- All pages with impressions, clicks, CTR, average position
filtered to pages containing /blog/
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.
- 12d ago First seen · 358 lines · 121 tokens per session scan A 09a0bdb3e52d
ds-content-perf is a skill published in the GitHub repository Dataslayer-AI/Marketing-skills (23 stars, last pushed 5mo ago), licensed MIT. It adds 121 tokens to every session and 3,205 once invoked, about $0.0006 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 2026-08-30.
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