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-post-writergit 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-post-writer)<a href="https://agentmods.dev/skills/wingedguardian/genesis-agi/linkedin-post-writer"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-post-writer/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-post-writer"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-post-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 54 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
- high Prompt Injection · line 140 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00072 | $0.01414 |
| Opus 5 | $0.00036 | $0.00707 |
| Sonnet 5 | $0.00014 | $0.00283 |
| Haiku 4.5 | $0.00007 | $0.00141 |
Grade B, and why
linkedin-post-writer scanned grade B with 1 finding 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
enough context to follow. Share the insight without moralizing. End with the How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Post Writer
Purpose
Write LinkedIn posts that sound authentically human — in the user's real voice, with genuine substance, avoiding every AI-generated content pattern. The bar is: a reader cannot distinguish this from the user having written it themselves.
Voice Loading
Before writing any post, load the user's voice via voice-master's overlay resolution:
- Read
../voice-master/SKILL.mdand follow its User Calibration Overlay section. Voice-master will load the user's exemplars and voice-dimensions from the out-of-repo overlay (or fall back to the in-repo template with a warning if no overlay exists). - This skill's medium is
social. Select 3-5 social-medium exemplars matching this post's topic and tone from whatever voice-master loads. - Read
../voice-master/references/anti-slop.md— apply the Universal and Professional / LinkedIn sections (forum / long-form sections do not apply here).
Use exemplars as stylistic reference — match sentence structure, vocabulary, directness. Do NOT copy exemplar content.
If no overlay is present, voice-master falls back to the template and emits a warning. Your output will be generic in that case; surface this clearly.
Every post MUST comply with the anti-slop rules. Failure to follow these rules produces content that damages the user's professional reputation. Treat violations as bugs, not style preferences.
Post Types
1. Experience Post
Share something that actually happened — a project, a decision, a mistake, a win. Grounded in specifics: technologies, team size, timeline, outcome.
Structure: Start in the middle of the story (not "Last week I..."). Give enough context to follow. Share the insight without moralizing. End with the thought, not a question.
2. Insight Post
Take a position on something in the industry. Must be a genuinely held opinion with reasoning — not a repackaged platitude.
Structure: State the observation. Give evidence or reasoning (specific examples, data, or experience). Acknowledge the counterargument. Land on your position. Keep it under 800 characters unless the argument genuinely needs more.
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 · 159 lines · 72 tokens per session scan B aa6a8466a3a6
linkedin-post-writer is a skill published in the GitHub repository WingedGuardian/GENesis-AGI (96 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 1,414 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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