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SKILL verified MIT Self-run

Search First

skill-mshadmanrahman-pm-pilot-search-first · by mshadmanrahman

Research existing solutions before writing custom code

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Install

$ agentstack add skill-mshadmanrahman-pm-pilot-search-first

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Search First

Mandatory research before writing any new code. Reuse beats reinvention.

When to Use

  • Before implementing any new feature
  • Before writing a utility function
  • Before adding a new dependency
  • Before building infrastructure (CI, deploy, tooling)

Procedure

Step 1: GitHub Code Search

# Search for existing implementations
gh search repos "{feature keywords}" --limit 5
gh search code "{function signature or pattern}" --limit 10

Look for:

  • Battle-tested implementations with stars and activity
  • Patterns that solve 80%+ of the problem
  • Forkable/portable code with compatible licenses

Step 2: Package Registry Search

Check the relevant registry:

  • npm: npm search {keywords}
  • PyPI: pip index versions {package} or web search
  • crates.io: cargo search {keywords}
  • Go: pkg.go.dev search

Evaluate packages on:

  • Download count and trend
  • Last publish date (stale = risk)
  • Dependency count (fewer = better)
  • License compatibility

Step 3: Library Documentation

  • Read official docs for candidate libraries
  • Check API matches the use case
  • Verify version compatibility with project

Step 4: Decision

Output one of:

REUSE: {package/repo} - {why it fits}
ADAPT: {package/repo} - {what needs modification}
BUILD: No suitable existing solution - {why}

Output Format

Search: {what was needed}

GitHub: 3 repos found, 1 strong match
  - github.com/user/repo (2.1k stars, MIT, active)

Registry: 2 packages evaluated
  - package-name (50k weekly downloads, v3.2.1)

Decision: REUSE package-name
Rationale: Covers all requirements, well-maintained, MIT license
Install: npm install package-name

Rules

  • NEVER skip this step for non-trivial implementations
  • Spending 5 minutes searching saves hours of coding
  • A 90% solution from a library beats a 100% custom solution
  • If BUILD is the decision, document why alternatives were rejected
  • For trivial utilities (< 10 lines), skip registry search
  • Always check license compatibility before adopting

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.