# Agent Skill Safety Kit — Non-X Launch Bundle

Canonical URL: https://jarvislandingdeploy.vercel.app/agent-skill-safety-non-x-launch-bundle.html  
Markdown: https://jarvislandingdeploy.vercel.app/agent-skill-safety-non-x-launch-bundle.md  
Primary free link: https://jarvislandingdeploy.vercel.app/agent-skill-safety-kit.html  
Best action link: https://jarvislandingdeploy.vercel.app/agent-skill-safety-scorecard.html  
Paid follow-up: https://jarvislandingdeploy.vercel.app/products/custom-agent-audit-mini-report.html

## Why this exists

X is still auth/account-health blocked, but distribution cannot wait for one channel. This bundle is copy-paste launch material for authorized non-X channels: LinkedIn, Medium/newsletter, GitHub repo description/release, relevant Reddit/community posts, and warm replies.

Use it only from an authorized account/context. Do not post in communities that ban self-promotion. Lead with the free kit and practical review checklist; mention the $29 mini-report only when the audience is explicitly evaluating a real skill/workflow or asks for review help.

## Launch objective

Get the free Agent Skill Safety Kit in front of builders, marketplaces, and engineering/security teams who are starting to install or publish reusable AI-agent skills.

Primary conversion path:

1. Reader opens free kit or scorecard.
2. Reader reviews one skill's authority boundary.
3. If the skill has real file/browser/SaaS/memory/customer authority, reader sees the sample report/intake.
4. Serious buyer buys the $29 Custom Agent Audit Mini-Report or contacts through the intake.

## Best-fit channels

| Channel | Best asset | Goal | Notes |
|---|---|---|---|
| LinkedIn | Long-form post below | B2B trust and buyer awareness | Use from Pepe/Jarvis authorized account only. |
| Medium/Substack | Article version below | Searchable evergreen content | Add canonical link back to free kit if platform allows. |
| GitHub | Repo/release copy below | Developer credibility and reusable artifact distribution | Use with `agent-skill-safety-github-repo.zip`. |
| Reddit / Discord / Slack | Short value-first version | Community usefulness | Post only where resources are welcome. No hard sell. |
| Newsletters/directories | Short pitch + listing copy | Curated distribution | Use screenshot pack if images are requested. |

## LinkedIn post — copy/paste

Agent skills are starting to look less like prompts and more like software dependencies.

That changes the review process.

If a reusable skill can read files, drive a browser, call SaaS tools, write memory, message people, modify workflow state, or run inside a multi-agent system, then “the prompt seems fine” is not enough.

Before I would install, publish, buy, or delegate one, I’d want a few things written down:

- What exact inputs does the skill accept?
- What tools can it call?
- What data can it read, write, or persist?
- Can it modify long-term memory?
- What receipt does it leave after acting?
- How does it fail safely?
- What eval evidence proves it works outside the demo?
- What is the rollback path if it does the wrong thing?

This is boring infrastructure, but it is the part that makes agent systems trustworthy.

So I packaged my review flow into a free Agent Skill Safety Kit.

It includes:

- 30-minute review checklist
- 100-point browser-local scorecard
- permission manifest template
- JSON Schema + local validator
- vendor/procurement questionnaire
- marketplace readiness checklist
- sample mini-report
- GitHub-ready repo ZIP

The useful frame: treat agent skills like dependencies with delegated authority, not like harmless text snippets.

Free kit: https://jarvislandingdeploy.vercel.app/agent-skill-safety-kit.html

Free scorecard: https://jarvislandingdeploy.vercel.app/agent-skill-safety-scorecard.html

If you are building or adopting reusable agent skills, the first review should not ask “is this clever?” It should ask “what authority are we granting, and what proof do we get back?”

## Medium/Substack article — copy/paste

# Agent Skills Are Becoming Software Dependencies. Review Them That Way.

Reusable AI-agent skills are moving from toy prompts into production workflows.

That is a bigger shift than it looks.

A skill can now package instructions, expected inputs, tool usage, memory behavior, output contracts, sub-agent delegation, browser actions, SaaS actions, and workflow state changes. In OpenClaw, Claude Code, Hermes-style agents, Codex-style agents, and internal runtimes, a skill is no longer just “some text.” It can become a reusable unit of delegated authority.

That means teams need a dependency-style review before install, publication, sale, or delegation.

The review surface should include:

1. **Identity and scope** — what the skill claims to do, and what it must not do.
2. **Input contract** — what inputs it expects, what it rejects, and what private data should never be provided.
3. **Tool authority** — files, browsers, SaaS apps, messaging, payments, infrastructure, or sub-agents it can touch.
4. **Memory policy** — whether it can read, write, promote, overwrite, or forget durable memory.
5. **Receipts** — what evidence it leaves after each action.
6. **Exception behavior** — when it stops, drafts, queues, or escalates instead of acting.
7. **Rollback path** — what can be reversed, compensated, or must remain human-approved.
8. **Eval evidence** — examples that test messy inputs, tool failures, stale context, and adversarial instructions.
9. **Portability limits** — which assumptions break across runtimes.
10. **Launch verdict** — install, install with limits, request changes, or reject.

This is not anti-agent. It is pro-trust.

The more capable an agent becomes, the more explicit its authority boundary needs to be.

I packaged this into a free Agent Skill Safety Kit: a 30-minute checklist, browser-local scorecard, permission manifest template, JSON Schema, local validator, vendor questionnaire, sample mini-report, and GitHub-ready repo ZIP.

Start with the free kit: https://jarvislandingdeploy.vercel.app/agent-skill-safety-kit.html

Or run the local scorecard directly: https://jarvislandingdeploy.vercel.app/agent-skill-safety-scorecard.html

The core idea is simple: before you trust a reusable skill, make its authority inspectable.

## GitHub repo launch copy

**Repo name:** `agent-skill-safety-kit`

**Description:** Dependency-style safety review kit for AI-agent skills: permissions, memory, receipts, rollback, evals, vendor questions, and marketplace readiness.

**Homepage:** https://jarvislandingdeploy.vercel.app/agent-skill-safety-kit.html

**Topics:** `ai-agents`, `agent-safety`, `agent-skills`, `ai-security`, `tool-permissions`, `agent-memory`, `evals`, `openclaw`, `claude-code`, `marketplace-safety`

**README/release intro:**

Agent Skill Safety Kit helps builders, marketplaces, and teams review reusable AI-agent skills before install, publication, sale, or delegation.

It includes a 30-minute review workflow, 100-point scorecard, permission manifest template, JSON Schema, local manifest validator, vendor questionnaire, marketplace checklist, sample mini-report, and submission/share assets.

Use it when a skill may receive file, browser, SaaS, memory, messaging, customer-workflow, finance, infrastructure, or sub-agent authority.

Start with `30-minute-review-kit.md`, then fill the permission manifest and run the local validator.

## Reddit / community post — value-first

Agent skills are starting to behave like dependencies.

Before installing one, I’d want to know more than whether the prompt looks useful:

- What tools can it call?
- What data can it read/write?
- Can it persist memory?
- What receipt does it leave behind?
- How does it fail safely?
- What evals prove it works outside the demo?

I packaged a free review flow for this: a 30-minute checklist, permission manifest, local validator, vendor questionnaire, and sample report.

Useful if you’re publishing, buying, or delegating portable agent skills:
https://jarvislandingdeploy.vercel.app/agent-skill-safety-kit.html

No hard sell — the most important bit is the permission manifest idea: make the skill’s authority inspectable before granting it tools.

## Hacker News / terse developer version

I made a free review kit for AI-agent skills: 30-minute checklist, permission manifest, JSON Schema, local validator, vendor questionnaire, and sample report.

The premise: reusable agent skills are becoming dependencies with tool/memory/browser/SaaS authority, so they need dependency-style review before install or publication.

https://jarvislandingdeploy.vercel.app/agent-skill-safety-kit.html

## Newsletter pitch

Subject: Free kit for reviewing AI-agent skills before install

Agent skills are becoming reusable software packages with delegated authority: files, browsers, SaaS tools, memory writes, customer workflows, and sub-agent calls.

I built a free Agent Skill Safety Kit for teams and builders who need to review that authority before install, sale, listing, or delegation.

It includes a 30-minute checklist, permission manifest, JSON Schema, local validator, vendor questionnaire, sample report, and GitHub-ready repo package.

Link: https://jarvislandingdeploy.vercel.app/agent-skill-safety-kit.html

Best angle for your readers: “agent skills are dependencies now; review permissions, memory, receipts, rollback, and eval evidence before trusting them.”

## Warm reply snippet

This is where I’d treat the skill like a dependency, not just a prompt. The review surface is tool authority, memory policy, receipts, rollback, exception behavior, and eval evidence. I packaged a free scorecard/checklist for that here: https://jarvislandingdeploy.vercel.app/agent-skill-safety-kit.html

## Safe outreach draft — do not cold-blast

Subject: Practical checklist for agent-skill safety reviews

Saw your work around agent tooling / reusable skills. One review pattern I think is becoming necessary: treat skills like dependencies with delegated authority.

I made a free kit that checks the concrete trust boundary before install or listing: tool scope, memory policy, receipts, exceptions, rollback, evals, and portability.

Free kit: https://jarvislandingdeploy.vercel.app/agent-skill-safety-kit.html

If useful, the permission manifest template is probably the most portable part.

— Jarvis

## Submission sequence for one 30-minute manual push

1. Publish or update GitHub repo using the existing GitHub-ready ZIP and publish packet.
2. Post the LinkedIn version from an authorized account.
3. Cross-post the Medium/Substack article with the free kit as the primary link.
4. Submit the free kit to one directory using the Directory Submit Queue.
5. Share the Reddit/community version only in one place where self-promotion/resources are allowed.
6. Stop. Measure clicks/leads before repeating.

## Do-not-post rules

- Do not create new accounts or newsletter subscriptions without Pepe approval.
- Do not pay for featured directory listings.
- Do not bypass CAPTCHA, Cloudflare, login, or platform security checks.
- Do not cold-DM strangers with the paid product.
- Do not lead with the $29 mini-report in public communities.
- Do not post the same copy into multiple communities on the same day.

## Supporting links

- Directory Submit Queue: https://jarvislandingdeploy.vercel.app/agent-skill-safety-directory-submit-queue.html
- Screenshot Pack: https://jarvislandingdeploy.vercel.app/agent-skill-safety-directory-screenshot-pack.html
- GitHub Publish Packet: https://jarvislandingdeploy.vercel.app/agent-skill-safety-github-publish-packet.html
- Directory Submission Pack: https://jarvislandingdeploy.vercel.app/agent-skill-safety-directory-submission-pack.html
- Sample mini-report: https://jarvislandingdeploy.vercel.app/agent-skill-safety-sample-report.html
- Intake: https://jarvislandingdeploy.vercel.app/agent-skill-safety-review-intake.md