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/windsor-ai/claude-windsor-ai-pluginWrote 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/commands/windsor-ai/claude-windsor-ai-plugin/campaign-report)<a href="https://agentmods.dev/commands/windsor-ai/claude-windsor-ai-plugin/campaign-report"><img src="https://agentmods.dev/badge/commands/windsor-ai/claude-windsor-ai-plugin/campaign-report/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/commands/windsor-ai/claude-windsor-ai-plugin/campaign-report"><img src="https://agentmods.dev/badge/commands/windsor-ai/claude-windsor-ai-plugin/campaign-report.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 | $0.00014 | $0.00187 |
| Opus 5 | $0.00007 | $0.00093 |
| Sonnet 5 | $0.00003 | $0.00037 |
| Haiku 4.5 | $0.00001 | $0.00019 |
Grade A, and why
campaign-report 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 10d 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
/campaign-report
Generate a quick campaign performance report from any connected data source.
Instructions
- Call
get_connectorsto list the user's connected platforms and accounts. - Ask the user which connector and account to report on (or pick the most obvious one if there's only one).
- Call
get_datawith these fields:["campaign", "date", "spend", "clicks", "impressions", "conversions", "revenue"]anddate_preset: "last_30d". - Format the results as a clean markdown table sorted by spend descending.
- Include a summary line with totals for spend, clicks, and conversions.
If the connector doesn't support some of those fields, call get_options first and adapt to available fields.
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.
- 10d ago First seen · 19 lines · 14 tokens per session scan A 35ef7c05b6a6
campaign-report is a command published in the GitHub repository windsor-ai/claude-windsor-ai-plugin (0 stars, last pushed 28d ago), licensed MIT. It adds 14 tokens to every session and 187 once invoked, about $0.0001 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.
Other commands, from other repositories
skill-refresh
You are running inside a headless Claude Code session in the neo4j-skills repository. Goal: scan Neo4j release notes and deprecation pages, then update any SKILL.md and references/ files that are stale, outdated, or missing new features. Open no PRs or commits — output only file edits. The workflow will handle git and…
brand-setup
Configure a new brand profile with colors, fonts, logo, visual style, platforms, and compliance rules.
screens
Structures product UX screen design — inventory, flow, states, and reusable briefs for external design tools — without generating pixels or UI code.
review
Cold re-quiz on code that already shipped — your own session commits, not the change in front of you.
qa
Smoke or browser-walk a running app. Report only. Do not implement. Do not merge.
clean-check
Analyze code for cleanliness issues (unused code, comment quality, formatting, naming, complexity). Delegates to the code-cleanliness agent.