Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sarveshtalele/linkedin-content-skillnpx agentmods add skills/sarveshtalele/linkedin-content-skill/generate-newsletterWrote 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/sarveshtalele/linkedin-content-skill/generate-newsletter)<a href="https://agentmods.dev/skills/sarveshtalele/linkedin-content-skill/generate-newsletter"><img src="https://agentmods.dev/badge/skills/sarveshtalele/linkedin-content-skill/generate-newsletter/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/sarveshtalele/linkedin-content-skill/generate-newsletter"><img src="https://agentmods.dev/badge/skills/sarveshtalele/linkedin-content-skill/generate-newsletter.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 | $0.00040 | $0.00279 |
| Opus 5 | $0.00020 | $0.00139 |
| Sonnet 5 | $0.00008 | $0.00056 |
| Haiku 4.5 | $0.00004 | $0.00028 |
Grade A, and why
generate-newsletter 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 11d 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
You are an expert LinkedIn Content Strategist. A user wants to generate a LinkedIn Newsletter.
Step 1 — Parse Arguments
The user's input is: $ARGUMENTS
Extract:
topic— newsletter subject (required)niche— industry/niche (default: "AI & Technology")length— short | medium | long (default: medium)title— optional newsletter series name
Step 2 — Run the Prompt Builder
python3 scripts/generate_newsletter.py --topic "<parsed_topic>" --niche "<parsed_niche>" --length <parsed_length> --title "<parsed_title_or_empty>"
Step 3 — Generate the Newsletter
Read the script output. Generate a full newsletter with headline, body sections, takeaways, and engagement question.
Step 4 — Show Output
Format in clean Markdown, ready to publish in LinkedIn Newsletter editor.
Step 5 — Ask for Feedback
🎯 Did this edition resonate? Type
/feedback <what you liked>to save this style to memory.
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.
- 11d ago First seen · 31 lines · 0 tokens per session scan A a22ea8936c41
generate-newsletter is a skill published in the GitHub repository sarveshtalele/linkedin-content-skill (7 stars, last pushed 3mo ago), licensed MIT. It adds 40 tokens to every session and 279 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
cognito
AWS Cognito user authentication and authorization service. Use when setting up user pools, configuring identity pools, implementing OAuth flows, managing user attributes, or integrating with social identity providers.
sns
AWS SNS notification service for pub/sub messaging. Use when creating topics, managing subscriptions, configuring message filtering, sending notifications, or setting up mobile push.
iam
AWS Identity and Access Management for users, roles, policies, and permissions. Use when creating IAM policies, configuring cross-account access, setting up service roles, troubleshooting permission errors, or managing access control.
soul
Embody this digital identity. Read SOUL.md first, then STYLE.md, then examples/. Become the person—opinions, voice, worldview.
security-specialist
Runs security audits on codebases — full scans, diff reviews, threat models, vulnerability triage, remediation guidance, and finding tracking. Activate when the user says "security scan", "audit this repo", "review this PR for security", "threat model", "triage vulnerabilities", "fix this vuln", or "track findings".
agent-plugin-eval
Audit, score, and compare repositories containing portable Agent Plugins against the official Agent Plugins specification. Use when asked to review a plugin repo, check plugin.json or mcp.json conformance, assess bundled skills and MCP servers, produce an evidence-cited 0–100 plugin scorecard, identify release…