Agent Operator Utility Pack
by Corey Jacobs
Five compact skills for artifact intake, preflight review, test planning, session handoff, and local tool-candidate inspection.
- Perform preflight audits on ZIP packages to prevent accidental data leaks.
- Generate structured handoff notes to maintain context between agent sessions.
- Identify if a local script is a viable candidate for an MCP tool conversion.
$49
· or 245 creditsSecure checkout via Stripe
Included in download
- Perform preflight audits on ZIP packages to prevent accidental data leaks.
- Generate structured handoff notes to maintain context between agent sessions.
- terminal, network automation included
- Ready for Claude Code
Sample input
Review this repo structure and summarize where I left off so I can resume work in a new chat thread.
Sample output
Context Handoff Spine
Current State: Implemented core CRUD for /users; pending JWT auth.
Active Files: routes/user.js, middleware/auth.js (incomplete).
Next Steps:
- Complete
verifyTokenlogic in auth middleware. - Link middleware to user routes. Residual Unknowns: Token expiry duration?
Agent Operator Utility Pack
by Corey Jacobs
Five compact skills for artifact intake, preflight review, test planning, session handoff, and local tool-candidate inspection.
$49
· or 245 creditsSecure checkout via Stripe
Included in download
- Perform preflight audits on ZIP packages to prevent accidental data leaks.
- Generate structured handoff notes to maintain context between agent sessions.
- terminal, network automation included
- Ready for Claude Code
- Instant install
Sample input
Review this repo structure and summarize where I left off so I can resume work in a new chat thread.
Sample output
Context Handoff Spine
Current State: Implemented core CRUD for /users; pending JWT auth.
Active Files: routes/user.js, middleware/auth.js (incomplete).
Next Steps:
- Complete
verifyTokenlogic in auth middleware. - Link middleware to user routes. Residual Unknowns: Token expiry duration?
About This Skill
Agent Operator Utility Pack is a compact bundle of five workflow skills for AI builders, developers, and operators who need cleaner artifact review, package preflight checks, test planning, session handoff, and local tool-candidate inspection. It is designed for moments where an AI-assisted project needs more structure before the next build, review, or handoff step. Included skills: Intake Guard: Reviews unknown artifacts, pasted specs, folders, or candidate packages before trusting them. Zip Preflight Guard: Checks ZIPs and release folders for public-upload risks, missing files, local-only assumptions, and packaging issues. Test Surface Finder: Helps identify practical test targets and validation surfaces for small repos, scripts, or workflow packages. Context Handoff Spine: Produces compact handoff notes so another model, session, or operator can continue the work. MCP Candidate Inspector Lite: Reviews whether a workflow, script, or tool idea is shaped enough to become a local tool candidate. Why use this skill: AI-assisted work often fails at the handoff points: unclear artifacts, upload folders with missing context, weak test surfaces, incomplete session summaries, or tool ideas that are not ready to become tools yet. This pack gives operators a small set of reusable review workflows for those transition points. The output: Depending on the selected skill, outputs may include intake notes, preflight findings, focused test plans, session handoff summaries, local tool-candidate notes, must-fix items, should-fix items, and residual unknowns. Important boundary: This pack provides workflow review aids and operator structure. It does not certify security, compliance, production readiness, marketplace approval, or official MCP compatibility.
Use Cases
- Perform preflight audits on ZIP packages to prevent accidental data leaks.
- Generate structured handoff notes to maintain context between agent sessions.
- Identify if a local script is a viable candidate for an MCP tool conversion.
- Map out specific test surfaces for new repositories or feature branches.
- Conduct intake reviews on incoming specs to ensure all requirements are clear.
- Inspect unknown ZIPs or artifact folders before trusting them
- Review a release package before uploading or sharing it
- Generate focused handoff notes to continue work in another AI session
- Identify practical test surfaces before asking an agent to modify code
- Check whether a workflow or script is a viable local tool candidate
- Prepare clearer review notes before handing a project to Claude, Codex, Cursor, GPT, or another AI agent
- Find missing context, unclear boundaries, and packaging gaps before a build or repair pass
Known Limitations
This pack provides static review workflows and operator guidance. It does not execute a full build, run all tests, certify security, verify compliance, guarantee marketplace approval, or confirm production readiness. Results depend on the files and context provided to the reviewing model. Final review and publishing decisions remain with the operator.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/agent-operator-utility-pack -o /tmp/agent-operator-utility-pack.zip && unzip -o /tmp/agent-operator-utility-pack.zip -d ~/.claude/skills && rm /tmp/agent-operator-utility-pack.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Security Scanned
Passed automated security review
Permissions
File Scopes
Tags
No install required for the core skill workflows. Best with Claude, Claude Code, Codex, Cursor, GPT, Kimi, or another capable LLM/agent that can inspect local files, ZIP contents, Markdown instructions, and structured project notes. Includes small local Python helper scripts for some review tasks.
Creator
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