Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
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 gooseworks-ai/goose-skills --skill sequence-performancegit clone --depth 1 https://github.com/gooseworks-ai/goose-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/gooseworks-ai/goose-skills/sequence-performance)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/sequence-performance"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/sequence-performance/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/gooseworks-ai/goose-skills/sequence-performance"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/sequence-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00092 | $0.03246 |
| Opus 5 | $0.00046 | $0.01623 |
| Sonnet 5 | $0.00018 | $0.00649 |
| Haiku 4.5 | $0.00009 | $0.00325 |
Grade A, and why
sequence-performance 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 9d 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 — 367 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sequence Performance
Goes beyond vanity metrics. Most campaign reports tell you open rate and reply rate. This skill reads the actual emails you sent, reads every reply you received, classifies the responses, evaluates your copy, evaluates your lead quality, and tells you specifically what's working, what's not, and what to do about it.
Three layers of analysis:
- Quantitative: The numbers — sends, opens, replies, bounces, conversions, by touch and by variant
- Qualitative (Copy): Are the subject lines, email bodies, CTAs, and personalization actually good?
- Qualitative (Replies): What are people actually saying? What objections keep coming up?
When to Use
Use this skill when:
- User says "how's my campaign doing", "sequence performance", "campaign review", "email analytics"
- User says "analyze my outreach", "why isn't my campaign working", "review my email results"
- A campaign has been running for 7+ days and has meaningful data
Phase 0: Intake
Outreach Tool
- What outreach tool do you use? (Smartlead / Instantly / Outreach.io / Lemlist / Apollo / Other)
- How do we access campaign data? (MCP tools / API / CSV export / paste metrics)
Campaign Selection
- Which campaign? (name or ID)
- Date range? (or "all data")
Your Company Context (for copy evaluation)
- What does your company do? (one-liner)
- Who is your ICP? (titles, industries, company size)
- What problem do you solve?
- What's your CTA goal? (book meeting, get reply, drive to page)
Benchmark Context
- Is this cold outreach or warm/nurture?
- What segment are you selling to? (SMB, mid-market, enterprise)
Step 1: Pull Campaign Data
Pull three categories of data from the user's outreach tool:
A) Campaign Metrics
| Data Point | What We Need |
|---|---|
| Total emails sent | By touch (Touch 1, Touch 2, Touch 3, etc.) |
| Total unique recipients | Deduplicated count |
| Opens | By touch, unique opens vs. total opens |
| Replies | By touch, total reply count |
| Bounces | Hard bounces + soft bounces |
| Unsubscribes | Count |
| Clicks | If link tracking is on |
| Positive replies | If categorized in the tool |
| Meetings booked | If tracked |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 367 lines · 92 tokens per session scan A be8936600e61
sequence-performance is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 92 tokens to every session and 3,246 once invoked, about $0.0005 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 2026-09-03.
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