Borrowing it
Nothing to install: this file belongs to sophonfinance-wq/finance-automation-portfolio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/sophonfinance-wq/finance-automation-portfolio/main/.claude/skills/linkedin-post/SKILL.mdgit clone --depth 1 https://github.com/sophonfinance-wq/finance-automation-portfolioWrote 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/sophonfinance-wq/finance-automation-portfolio/linkedin-post)<a href="https://agentmods.dev/skills/sophonfinance-wq/finance-automation-portfolio/linkedin-post"><img src="https://agentmods.dev/badge/skills/sophonfinance-wq/finance-automation-portfolio/linkedin-post/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/sophonfinance-wq/finance-automation-portfolio/linkedin-post"><img src="https://agentmods.dev/badge/skills/sophonfinance-wq/finance-automation-portfolio/linkedin-post.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 | $0.00038 | $0.00478 |
| Opus 5.5 | $0.00015 | $0.00191 |
| Sonnet 5.5 | $0.00008 | $0.00096 |
| Haiku 4.5 | $0.00004 | $0.00048 |
Grade A, and why
linkedin-post 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 1mo 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
LinkedIn Posts — Founder Voice
Voice rules (non-negotiable, learned by iteration)
- Hard opener: a blunt claim or contrarian line, then credentials for credit: "18 years closing the books for Fortune 100 and 500 companies." Name: Sophonnarith Hang, senior accounting & tax, GAAP/FAR/CAS.
- Kill the AI smell: no em-dashes, no emoji-bulleted feature lists, no "it didn't remove X, it moved X" chiasmus slogans, no rule-of-three punchlines, no title-case headers. Short, uneven sentences. Contractions.
- Max 3 hashtags, lowercase:
#finance #accounting #ai. - Links: site (sophonfinance.com) + email ([email protected]) in body; GitHub link works better as the FIRST COMMENT (body links get reach-throttled) — but follow the user's explicit ask if they want it in-body.
- End with a soft CTA: "If your close still eats a week, message me. I'll show you what I'd automate first, free."
- Always pair with a house-style graphic (see the brand-graphics skill). Deliver copy in a code block for easy copy-paste.
- Claims must be true to the repo: cite real test counts, real demo output, "fictional data, run it yourself".
Cadence content on file
references/post-series.md (in this skill's folder) holds the ready-to-paste series: launch + one post per engine. Already published: the self-healing launch post (with the tie-out diagram) and "One loop architecture. Five gate policies." (with the gate-policy table).
Posts 2-6 predate these voice rules (em-dashes, Title-Case hashtags) — rewrite them into the voice above before delivering. Posts 7-15 (engines 39-47) are already in this voice and lint clean — deliver them as-is; each carries its GitHub first comment beside it. Continue numbering from 16.
What ships with it
1 file 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.
- 1mo ago Changed 9f63843920d2
- 2mo ago First seen · 20 lines · 38 tokens per session scan A 2fb072eae519
linkedin-post is a skill published in the GitHub repository sophonfinance-wq/finance-automation-portfolio (16 stars, last pushed 27d ago), licensed MIT. It adds 38 tokens to every session and 478 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 2026-08-30.
linkedin-post compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| linkedin-postsophonfinance-wq/finance-automation-portfolio | Skill | 16 | 27d ago | MIT | A | 38 | Claude Code |
| monthly-close-processgokulb20/crewm8-cfo-skills | Skill | 2 | 6mo ago | MIT | A | 67 | Claude Code, Codex |
| schema-explorationlangchain-ai/deepagents | Skill | 31k | today | MIT | A | 57 | Claude Code, Codex |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 6d ago | MIT | A | 44 | Claude Code |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 69k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| mempalace-recallMemPalace/mempalace | Skill | 60k | today | MIT | A | 94 | Claude Code |
| haikuagno-agi/agno | Skill | 43k | yesterday | Apache-2.0 | A | 0 | Claude Code, Codex |