Go Testing
Go testing patterns: table-driven tests, subtests, benchmarks, fuzzing, httptest for API testing, testify assertions, and coverage measurement with TDD methodology.
Governance Receipt
- Signer
- sovereign-claw-ed25519
- Signed At
- 6/4/2026
- Risk Tier
- T2
- Receipt Hash
- 7586cd95
- Manifest Hash
- 838c26680bb2a77c9fdfae340cfe767ba9252a4f3b7bce6a2675081d376ac7b7
- Signature
- b9AeMTGG
- Root Public Key
- 349b0348
Skill Details
- Gate Verdict
- Elevated · Review
- Publication State
- published
- Risk Tier
- T2
- Manifest Hash
- 838c2668
Download Attested Bundle
Install Go Testing
Each bundle is served from the attested copy of Go Testing, so the file you download is the one covered by the governance receipt on this page rather than whatever currently sits at the upstream source.
Claude Code skill
curl -L "https://atestiv.com/api/download/ecc-golang-testing?format=claude-code" -o ecc-golang-testing.skill.mdMCP tool definitions
curl -L "https://atestiv.com/api/download/ecc-golang-testing?format=mcp" -o ecc-golang-testing.mcp-tools.jsonRaw attested bundle
curl -L "https://atestiv.com/api/download/ecc-golang-testing?format=raw" -o ecc-golang-testing.bundle.jsonVerify the bundle against its manifest hash
shasum -a 256 ecc-golang-testing.bundle.jsonProvenance
- Catalog identifier:
ecc-golang-testing - Harvested from the upstream repository.
- The manifest hash below is what the signing key committed to. A bundle whose digest does not match it is not the attested Go Testing.
- Anything published here has been through the same gate, so a missing receipt is itself a signal rather than an omission.
More Skills
TDD Enforcement
Test-driven development enforcement: write-tests-first methodology, RED/GREEN/REFACTOR cycle, 80%+ coverage requirement across unit/integration/E2E, user journey definitions, test pyramid structure, and coverage verification gates.
Hiring Manager
Structures hiring workflows covering job description writing, interview scorecard design, structured interview questions, and offer letter templates.
Instinct Learning System
Instinct-based learning system: observe sessions via hooks, create atomic instincts with confidence scoring, project-scoped isolation to prevent cross-project contamination, promote universal patterns to global scope, and evolve instinct clusters into full skills.