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 WingedGuardian/GENesis-AGI --skill linkedin-comment-strategygit clone --depth 1 https://github.com/WingedGuardian/GENesis-AGIWrote 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/wingedguardian/genesis-agi/linkedin-comment-strategy)<a href="https://agentmods.dev/skills/wingedguardian/genesis-agi/linkedin-comment-strategy"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-comment-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/wingedguardian/genesis-agi/linkedin-comment-strategy"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-comment-strategy.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 | $0.00086 | $0.01230 |
| Opus 5 | $0.00043 | $0.00615 |
| Sonnet 5 | $0.00017 | $0.00246 |
| Haiku 4.5 | $0.00009 | $0.00123 |
Grade A, and why
linkedin-comment-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 10d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Comment Strategy
Purpose
Write LinkedIn comments that build genuine professional visibility — not generic "Great post!" noise. Every comment should demonstrate expertise, add value to the conversation, or make the author want to respond. Comments are the highest-ROI LinkedIn activity for building network presence.
Voice Loading
Before writing comments, load the user's voice via voice-master's overlay resolution:
- Read
../voice-master/SKILL.mdand follow its User Calibration Overlay section to load exemplars and voice-dimensions from the out-of-repo overlay (or template fallback with warning if no overlay). - This skill's medium is
social. Select social-medium exemplars from whatever voice-master loads. - Read
../voice-master/references/anti-slop.md— apply the Universal and Professional / LinkedIn sections.
If no overlay is present, voice-master falls back to generic voice guidance and warns — note this in your output.
Comments follow the same voice rules as posts but in compressed form.
Comment Types
1. Add-Value Comment
Extend the post's point with additional insight, a related experience, or a nuance the author didn't cover.
When to use: The post makes a good point that you can genuinely build on. Length: 2-4 sentences. Example pattern: "[Specific agreement with a detail]. In my experience with [specific context], [additional insight]. [Optional: question or implication]."
2. Respectful Challenge
Disagree with or complicate the post's thesis — with reasoning, not contrarianism.
When to use: The post oversimplifies something or misses a key angle. Length: 3-5 sentences. Example pattern: "[Acknowledge the valid part]. Where I'd push back is [specific point] because [evidence/experience]. [What this changes about the conclusion]."
3. Experience Share
Contribute a relevant personal experience that illustrates or complicates the post's point.
When to use: The post resonates with something you've lived through. Length: 3-6 sentences. Example pattern: "[Brief connection to the post]. When I was [specific situation], [what happened]. [What you learned or how it relates]."
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.
- 10d ago First seen · 142 lines · 86 tokens per session scan A 07109f9d7e48
linkedin-comment-strategy is a skill published in the GitHub repository WingedGuardian/GENesis-AGI (96 stars, last pushed today), licensed MIT. It adds 86 tokens to every session and 1,230 once invoked, about $0.0004 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 2026-08-30.
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