Which agent skill should I install first?
Start with the problem, not the size of the catalog. The best first skill is the narrowest package that produces a result you can inspect and solves a job you already need done.
Use README Generator for a free, low-risk first run. Choose AI Build Sanity Check when an AI-built app may only look complete, Code Comment Cleaner for preview-first repository cleanup, Skill Injection Scanner before installing third-party skills, and the PII scanner when personal data may be hiding in code or logs.
Choose by the cost of the problem
A first skill should not require you to redesign your workflow. Give it a concrete input, check the output, and decide whether it saved time or reduced risk. These paths use current catalog evidence, but installs and purchases are demand signals—not guarantees.
Start with README Generator
It reads the actual repository manifests and turns them into install steps, dependencies, scripts, structure, and usage instead of guessing. The output is easy to review because it is documentation, not a code change.
Why it leads: 8 reported installs, the strongest acquisition signal in the catalog snapshot.
Use AI Build Sanity Check
It looks for leftover TODOs, fake or mock data presented as real, swallowed errors, placeholder content, and endpoints that pretend to succeed. Findings are read-only and explained in plain English.
Why it leads: a completed July purchase and a sharp, recognizable failure mode.
Use Code Comment Cleaner
It separates useful comments from noise, explains proposed removals, and previews changes before writing. That makes the result inspectable before the repository changes.
Why it leads: two completed purchases, including one in July.
Use Skill Injection Scanner, then review manually
The scanner creates a read-only review queue for hostile instructions, concealment, exfiltration wording, encoded content, unsafe commands, and excessive tool requests. It does not execute the package and it does not certify safety.
Use PII & Data-Leak Scanner
It checks common places where personal data survives into a repository or build artifact, then explains the exposure without uploading the workspace.
Why it leads: 3 reported installs and a completed purchase in the marketplace history.
Start free, then add depth
Lead Enricher turns a company into a usable lead profile. Pipeline Reporter turns a CRM CSV into an inspectable report. Pipeline Reporter Pro is the paid step when the team needs deeper analysis and a more complete reporting workflow.
Why this path leads: Lead Enricher and Pipeline Reporter have 5 and 4 reported installs; Pipeline Reporter Pro has 2 installs and a completed purchase.
What the current evidence actually says
The JustHandled Labs creator snapshot captured July 20, 2026 reports 98 live skills, roughly 9,945 views, 40 installs, and completed purchases across multiple products. The signals are concentrated rather than evenly spread.
| Signal | What it supports | What it does not prove |
|---|---|---|
| README Generator: 8 installs | Low-friction documentation is a strong free entry point. | That it is right for every repository. |
| Git Commit Writer: 6 installs | Small, frequent jobs are easy to trial. | That install count equals repeat use. |
| AI Build Sanity Check: July purchase | Buyers will pay for a specific AI-build failure mode. | Universal quality or fit. |
| Code Comment Cleaner: 2 purchases | Preview-first cleanup is understandable and purchase-worthy. | That every codebase needs comment cleanup. |
| PII scanner and Pipeline Reporter Pro: installs plus purchases | Risk reduction and reporting both have commercial evidence. | That marketplace counters capture every historical use. |
Creator-card install counters do not consistently match completed sales history, so purchase history is treated as the stronger revenue signal. Prices and purchase options are intentionally left to the current Agensi listings.
A five-minute comparison before you install
- Output: Can you name the exact file, report, or decision the skill should produce?
- Access: Does the requested filesystem, network, or credential access match that output?
- Evidence: Will you see the sources, commands, or findings behind the result?
- Failure behavior: Does the skill stop clearly when inputs are missing or uncertain?
- Reviewability: Can you inspect the SKILL.md and any scripts before a credentialed run?
If two skills cover the same problem, prefer the narrower one that needs less access and produces the more inspectable result.
Common questions
Should I start with a free agent skill?
Yes when it solves the exact job and lets you test the workflow with low commitment. Move to a paid skill when the problem is higher-risk, needs more depth, or has a demonstrated cost of failure.
How should I compare two skills?
Compare the promised output, required access, evidence produced, and failure behavior. Then review the exact package. A broad description with more features is not automatically the better fit.
Do installs or purchases prove quality?
No. They are useful demand signals. They do not replace package review, a controlled test, or your own acceptance criteria.