Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Get Started Free →

Go Linters — measured AI agent skill | DecimalAI

github/go-linters

NewSkillScoreMaintained

Add and validate custom Go analysis linters in gh-aw.

by github

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

Coding pack

decimalai skills pull github-go-linters

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/github-go-linters/SKILL.md

Raw file: /s/github-go-linters/SKILL.md ↗ · machine-readable summary at /s/github-go-linters.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 11h ago

Yes — +55% lift-50% tokens0% turns82% of whole cases pass with skill (18/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-01	✗→✓	▲ Improved	-42%	0%
case-02	✗→✓	▲ Improved	-47%	0%
case-03	✗→✓	▲ Improved	-40%	0%
case-04	✗→✓	▲ Improved	-66%	0%
case-05	✗→✓	▲ Improved	-47%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

github / gh-aw

.github/skills/go-linters/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

Skill contents

SKILL.md

Go Linters

Use this guide when adding a new custom Go analysis linter in this repository.

For PR-driven linter generation (derive a rule from a specific pull request pattern), use .github/skills/pr-to-go-linter/SKILL.md.

Where to add a new linter

Create a new package under pkg/linters/<linter-name>/.
Define an analyzer in that package (exported as Analyzer).
Add tests in the same package using analysistest with fixtures under testdata/src/....
Register the analyzer in cmd/linters/main.go so it runs via the multichecker binary.

Build and test linters

Test only your linter package:
go test ./pkg/linters/<linter-name>/...
Build the custom linter runner:
go build ./cmd/linters
Run all custom linters across the repo:
make golint-custom

make golint-custom builds cmd/linters and runs it against ./cmd/... and ./pkg/....

Want to see if github/go-linters would activate on your phrasing? Try it before you install — no LLM call, no signup.

Other measured skills in the registry, with their headline benchmark lift.