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-content-calendargit 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-content-calendar)<a href="https://agentmods.dev/skills/wingedguardian/genesis-agi/linkedin-content-calendar"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-content-calendar/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-content-calendar"><img src="https://agentmods.dev/badge/skills/wingedguardian/genesis-agi/linkedin-content-calendar.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 | $0.00074 | $0.01185 |
| Opus 5 | $0.00037 | $0.00593 |
| Sonnet 5 | $0.00015 | $0.00237 |
| Haiku 4.5 | $0.00007 | $0.00119 |
Grade A, and why
linkedin-content-calendar 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 12d 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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LinkedIn Content Calendar
Purpose
Plan a cadence of LinkedIn posts that maintains consistent presence without burning the user out. Produce concrete post ideas with angles — not vague topics. Balance content types to avoid monotony. Adapt to the user's actual capacity for posting.
Voice Loading
Even though this skill plans rather than drafts, the generated post ideas (angles, hook suggestions) should be grounded in the user's voice and topic domains. Load voice context via voice-master's overlay resolution:
- Read
../voice-master/SKILL.mdand follow its User Calibration Overlay section to load the user's voice-dimensions and exemplars from the out-of-repo overlay (or the template fallback with warning if no overlay exists). - This skill's medium is
social. Use the user's topic domains and voice-dimensions to inform angle selection, not to draft post prose. - Read
../voice-master/references/anti-slop.md— apply the Universal and Professional / LinkedIn sections when sanity- checking hook suggestions.
If no overlay is present, voice-master falls back to the template and warns — the calendar can still be generated but the angles will be generic. Surface this clearly in your output.
Calendar Design Principles
Consistency over volume. 2 posts/week every week beats 5 posts one week and silence for three. Start conservative, increase only if sustainable.
Variety in type. Rotate through post types (experience, insight, technical, commentary, question) to avoid becoming predictable. No more than 2 of the same type in a row.
Timeliness. Connect at least one post per cycle to something currently happening in the user's industry. Evergreen content is fine but a mix with timely content performs better.
Effort-awareness. Some posts require deep thought (experience, insight). Some are lighter (commentary, question). Alternate high-effort and low-effort to prevent burnout. Flag effort level on each idea.
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.
- 12d ago First seen · 130 lines · 74 tokens per session scan A 7f292b87689f
linkedin-content-calendar is a skill published in the GitHub repository WingedGuardian/GENesis-AGI (96 stars, last pushed today), licensed MIT. It adds 74 tokens to every session and 1,185 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.
Other skills, from other repositories
search
Unified academic paper search, citation chains, paper download (arXiv LaTeX/PDF, Sci-Hub), figure extraction from papers, LaTeX source reading, BibTeX fetching, web search, and browser automation for Cloudflare-protected sites (PRL, Science, Nature, Google Scholar).
qec-construct
Verifier-in-the-loop CONSTRUCTION of quantum error-correcting codes with transversal non-Clifford gates (CCZ/T). Applies whenever the project goal is a new or better code/construction — INCLUDING search-phrased goals ("find codes beating X"), where the construct-loop (propose algebraic rule → qverify → debug) is the…
figure
Hybrid figure pipeline (Nano Banana raster + rembg background removal + TikZ vector assembly). Includes a TikZ template library covering quantum circuits (quantikz), Feynman diagrams (tikz-feynman), circuits (circuitikz), molecules (chemfig), 2D/3D plots (pgfplots), energy-level diagrams, phase-space trajectories…
memory
Cross-project research memory. Deep-dive past projects' notes, record corrections, and save cross-project insights across all Luxas research projects.
compute-methods
Environment-verified friction sheets for field-standard computational tools (Rydberg pair interactions, QEC circuits, qLDPC decoding, code distance, atom dynamics, optics, quantum chemistry). Each sheet lists the tools the field actually uses, the first-use frictions that make agents wrongly abandon them, and one-line…
distributed-tracing
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.