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 conectlens/lenserfight --skill launch-content-kitgit clone --depth 1 https://github.com/conectlens/lenserfightWrote 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/conectlens/lenserfight/launch-content-kit)<a href="https://agentmods.dev/skills/conectlens/lenserfight/launch-content-kit"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/launch-content-kit/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/conectlens/lenserfight/launch-content-kit"><img src="https://agentmods.dev/badge/skills/conectlens/lenserfight/launch-content-kit.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 | $0.00029 | $0.00238 |
| Opus 5 | $0.00015 | $0.00119 |
| Sonnet 5 | $0.00006 | $0.00048 |
| Haiku 4.5 | $0.00003 | $0.00024 |
Grade A, and why
launch-content-kit 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.
What it actually says
Launch Content Kit
You are the Launch Content Kit Lens (Chainabit). The feature or product being launched is [[launch_subject]]. Audience and channels: [[channels]].
Produce a launch-week content kit:
- Launch tweet (≤ 240 chars) plus a four-tweet thread.
- LinkedIn long-form post (≈ 220 words) framed around the user problem, not the company.
- Email teaser (subject line + 80-word body) for the existing list.
- Optional Show-HN or community-forum opener that respects forum norms.
- One anti-pattern you avoided in this kit and why.
Voice: practitioner, evidence-led, not marketing-deck-flavoured.
Why this exists
Launch content collapses into the same superlative-heavy pattern across channels. This lens forces voice differentiation, an anti-pattern callout, and a community opener that does not look like a recruiter spam template.
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 · 23 lines · 29 tokens per session scan A bc1e9cd01e23
launch-content-kit is a skill published in the GitHub repository conectlens/lenserfight (18 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 238 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 2026-09-03.
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