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 Pattyboi101/oats-autonomous-agents --skill outreach-batchgit clone --depth 1 https://github.com/Pattyboi101/oats-autonomous-agentsWrote 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/pattyboi101/oats-autonomous-agents/outreach-batch)<a href="https://agentmods.dev/skills/pattyboi101/oats-autonomous-agents/outreach-batch"><img src="https://agentmods.dev/badge/skills/pattyboi101/oats-autonomous-agents/outreach-batch/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/pattyboi101/oats-autonomous-agents/outreach-batch"><img src="https://agentmods.dev/badge/skills/pattyboi101/oats-autonomous-agents/outreach-batch.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 | $0.00031 | $0.01030 |
| Opus 5 | $0.00015 | $0.00515 |
| Sonnet 5 | $0.00006 | $0.00206 |
| Haiku 4.5 | $0.00003 | $0.00103 |
Grade A, and why
outreach-batch 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 11d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Outreach Batch
You are managing a maker outreach campaign for Your Project. Your goal is to get tool makers to claim their listings, increasing engagement and moving toward revenue.
Before Starting
Check for context first:
- How many emails have already been sent this session? (Check playbook)
- Did previous batches get any claims? (Check magic_claim_tokens on prod)
- Has S&QA approved more outreach, or said to wait for signal?
Context Needed
- How many targets? (Default: 15-20 per batch)
- Star threshold? (Default: 1000+ GitHub stars)
- Any tools to exclude? (Already emailed list)
How This Skill Works
Mode 1: Full Campaign (first time)
Run all 6 steps below in order. Takes ~30 minutes with departments.
Mode 2: Next Batch (adding more)
Skip to Step 1 with exclusions from previous batches. Reuse existing templates.
Mode 3: Follow-Up
Check claim analytics, resend to non-responders with adjusted angle after 7 days.
The 6-Step Process
Step 1: Find Targets (Backend)
SELECT slug, name, github_stars, url FROM tools
WHERE status='approved' AND maker_id IS NULL
AND github_stars > {threshold}
AND slug NOT IN ({already_emailed})
ORDER BY github_stars DESC LIMIT {count}
Step 2: Find Emails (Backend)
For each target, try in order:
gh api users/{owner} --jq '.email'gh api repos/{owner}/{repo} --jq '.owner.email'- Check CONTRIBUTING.md, README security contacts
- Check package.json/composer.json author fields
Expected hit rate: ~70%. Skip tools with no public email.
Step 3: Audit Target Pages (MCP Dept)
BEFORE sending, verify each tool page has:
- Correct install_command (NOT wrong tool — Cal.com had mailhog!)
- Non-truncated tagline
- Description that's more than just the tagline
- Correct category
Fix issues via Backend before proceeding.
Step 4: Write Emails (Content)
Two template types:
- Has MCP views (>0): "agents recommended your tool X times"
- Zero views: "AI agents couldn't find your tool — we fixed that"
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.
- 11d ago First seen · 109 lines · 31 tokens per session scan A 3217464c2a5e
outreach-batch is a skill published in the GitHub repository Pattyboi101/oats-autonomous-agents (6 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 1,030 once invoked, about $0.0002 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 2026-08-31.
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