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 Ken-Technology/cold-email-skills --skill search-strategygit clone --depth 1 https://github.com/Ken-Technology/cold-email-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/ken-technology/cold-email-skills/search-strategy)<a href="https://agentmods.dev/skills/ken-technology/cold-email-skills/search-strategy"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/search-strategy/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/ken-technology/cold-email-skills/search-strategy"><img src="https://agentmods.dev/badge/skills/ken-technology/cold-email-skills/search-strategy.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 | $0.00093 | $0.02553 |
| Opus 5.5 | $0.00037 | $0.01021 |
| Sonnet 5.5 | $0.00019 | $0.00511 |
| Haiku 4.5 | $0.00009 | $0.00255 |
Grade A, and why
search-strategy 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 5d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search Strategy Skill
Turn an ideal customer profile into portable prospect-search filters the user can run in any list tool (Apollo, Sales Navigator, Clay, ZoomInfo, LinkedIn, or a hand-built list), check that the volume fits the campaign, and write the result to search-strategy.md so the rest of the campaign has a clear, reusable targeting brief. Do not bind the work to one vendor.
Inputs
- Read
research.mdfrom the campaign workspace (./cold-email/{slug}/) when it exists: ICP details, buyer roles, company attributes, competitors, named target accounts and example prospects. - Read
plan.mdfor the broad ICP, the segments and the lead target, or the user's brief when there is no plan. - If either is missing, ask the user for the target role (title, or function plus seniority), the company type (industry, size, business model) and the problem the offer solves. Never invent an ICP: a short question beats a guess.
Core Principles
- Breadth over perfection - Capture the full addressable market. AI qualification handles edge cases.
- Size to the target - When the user or the calling agent sets a lead target and a count range, tune to that range. Otherwise aim for 3x-10x the desired contacts: about 5x covers enrichment (~30% email found), verification (~70% valid), and qualification (~60% pass).
- Function + seniority over long title lists for broad roles. Use the tool's seniority filter (Director, VP, C-level) instead of listing every senior title.
- Keywords last - Profile keywords shrink a search fast. Use one only when titles and functions cannot find the role, and let qualification judge the rest.
- Geography as the offer is sold - Person location, company HQ or both, depending on how the offer is sold. Check that the user's list tool covers the region before you build on it.
- Full-phrase title matching - A title matches the whole phrase, not single words. Expand every role into 8-15 real variants (
"VP Marketing","VP of Marketing","Vice President Marketing","Head of Marketing","Director of Marketing"); unexpanded lists silently miss people. - Capture exclusions - Competitors, current customers, agencies when selling to product companies, and other bad fits, so the user never spends exports on them.
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.
- 5d ago Changed 9b49a5d426f5
- 9d ago Changed · -9 lines 5e879009c100
- 2mo ago First seen · 154 lines · 93 tokens per session scan A 02b3b5cb6f12
search-strategy is a skill published in the GitHub repository Ken-Technology/cold-email-skills (4 stars, last pushed 6d ago), licensed MIT. It adds 93 tokens to every session and 2,553 once invoked, about $0.0004 per session on Opus 5.5. 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.
search-strategy compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| search-strategyKen-Technology/cold-email-skills | Skill | 4 | 6d ago | MIT | A | 93 | Claude Code, Codex |
| cold-emailFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 177 | Claude Code, Codex |
| list-buildingFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 190 | Claude Code, Codex |
| claygentFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 131 | Claude Code |
| conditional-logicFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 128 | Claude Code |
| people-enrichmentFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 110 | Claude Code |
| scoringFrontal-so/outbound-skills | Skill | 9 | 1mo ago | MIT | A | 113 | Claude Code |