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 genfeedai/skills --skill internal-commsgit clone --depth 1 https://github.com/genfeedai/skillsWrote 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/genfeedai/skills/internal-comms)<a href="https://agentmods.dev/skills/genfeedai/skills/internal-comms"><img src="https://agentmods.dev/badge/skills/genfeedai/skills/internal-comms/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/genfeedai/skills/internal-comms"><img src="https://agentmods.dev/badge/skills/genfeedai/skills/internal-comms.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 | $0.00050 | $0.00397 |
| Opus 5.5 | $0.00020 | $0.00159 |
| Sonnet 5.5 | $0.00010 | $0.00079 |
| Haiku 4.5 | $0.00005 | $0.00040 |
Grade A, and why
internal-comms 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 2mo 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
When to use this skill
To write internal communications, use this skill for:
- 3P updates (Progress, Plans, Problems)
- Company newsletters
- FAQ responses
- Status reports
- Leadership updates
- Project updates
- Incident reports
How to use this skill
To write any internal communication:
- Identify the communication type from the request
- Load the appropriate guideline file from the
examples/directory:examples/3p-updates.md- For Progress/Plans/Problems team updatesexamples/company-newsletter.md- For company-wide newslettersexamples/faq-answers.md- For answering frequently asked questionsexamples/general-comms.md- For anything else that doesn't explicitly match one of the above
- Follow the specific instructions in that file for formatting, tone, and content gathering
If the communication type doesn't match any existing guideline, ask for clarification or more context about the desired format.
Keywords
3P updates, company newsletter, company comms, weekly update, faqs, common questions, updates, internal comms
What ships with it
6 files 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.
- 2mo ago First seen · 45 lines · 50 tokens per session scan A 2eab5381c9d6
internal-comms is a skill published in the GitHub repository genfeedai/skills (3 stars, last pushed today), licensed MIT. It adds 50 tokens to every session and 397 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 2026-08-31.
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