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 krillinai/growth-skills --skill b2b-outbound-messaginggit clone --depth 1 https://github.com/krillinai/growth-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/krillinai/growth-skills/b2b-outbound-messaging)<a href="https://agentmods.dev/skills/krillinai/growth-skills/b2b-outbound-messaging"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/b2b-outbound-messaging/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/krillinai/growth-skills/b2b-outbound-messaging"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/b2b-outbound-messaging.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 | $0.00060 | $0.01670 |
| Opus 5.5 | $0.00024 | $0.00668 |
| Sonnet 5.5 | $0.00012 | $0.00334 |
| Haiku 4.5 | $0.00006 | $0.00167 |
Grade A, and why
b2b-outbound-messaging 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 2mo 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
B2B Outbound Messaging
Draft relevant one-to-one B2B outreach from attributable evidence and a resolved permission context. Public evidence is sufficient to begin; private CRM or contact artifacts are optional and stay within their supplied scope. Missing private data is unavailable, not failure.
Read message-contract.md for intake, draft packages, ledgers, stop states, localization, and measurement. Read evidence-and-safety.md for evidence states, permission, privacy, prohibited conduct, and external-action boundaries. Read market-channels.md whenever market, language, locale, business email, LinkedIn, WeCom, WeChat, current platform behavior, or regulatory text affects the request.
Select One Mode
| Mode | Use | Required boundary |
|---|---|---|
single-message |
One initial message to one bounded recipient | One selected channel and no implied later touch |
sequence |
A bounded set of messages to one recipient/context | Owner-approved message limit, timing, and stop logic |
follow-up |
A response or scheduled next message in a captured conversation | Inspect reply, permission, bounce, suppression, and sequence state first |
localization |
Native adaptation of a supplied or approved message | Preserve facts and permission while adapting to declared market, language, locale, and channel |
If a request mixes modes, name one primary mode and keep secondary work explicit. This Skill does not discover recipients or authorize bulk outreach.
Freeze The Context
Record ICP; recipient role/company or bounded identity supplied by the user; sender's real identity and organization; relationship/contact source; verifiable personalization evidence; problem hypothesis; offer; proof; CTA; market; language; locale; channel; sequence limits; permission/consent/legal/policy constraints; stop and suppression state; and available source artifacts.
What ships with it
3 files 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.
- 2mo ago First seen · 77 lines · 60 tokens per session scan A c7bfab21e75c
b2b-outbound-messaging is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 1,670 once invoked, about $0.0002 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 2026-09-03.
b2b-outbound-messaging compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| b2b-outbound-messagingkrillinai/growth-skills | Skill | 43 | 2mo ago | MIT | A | 60 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |