Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add eduardo-sl/go-agent-skills --skill go-test-table-drivengit clone --depth 1 https://github.com/eduardo-sl/go-agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/eduardo-sl/go-agent-skills/go-test-table-driven)<a href="https://agentmods.dev/skills/eduardo-sl/go-agent-skills/go-test-table-driven"><img src="https://agentmods.dev/badge/skills/eduardo-sl/go-agent-skills/go-test-table-driven/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/eduardo-sl/go-agent-skills/go-test-table-driven"><img src="https://agentmods.dev/badge/skills/eduardo-sl/go-agent-skills/go-test-table-driven.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00139 | $0.01593 |
| Opus 5 | $0.00069 | $0.00796 |
| Sonnet 5 | $0.00028 | $0.00319 |
| Haiku 4.5 | $0.00014 | $0.00159 |
Grade A, and why
go-test-table-driven scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Go Table-Driven Tests
Table-driven tests are a powerful Go idiom — when used correctly. Most codebases either underuse them (10 copy-paste tests) or overuse them (complex branching logic in a 200-line struct). This skill covers the sweet spot.
Detailed reference material, loaded on demand:
references/patterns.md— full worked examples: canonical tables,wantErr/wantErrIs, parallel tables, map-based tables, error-only tables, struct alignment for readability.references/refactoring.md— recognizing bloated tables and rewriting them as explicit subtests, with before/after examples.
Read a reference file only when the summary below is not enough for the task at hand.
1. When Table-Driven Tests Shine
Use a table only when ALL of these are true:
- Same function under test across all cases
- Same assertion pattern — input in, output out, compare
- Cases differ only in data, not in setup or verification logic
- 3+ cases — fewer than 3, explicit tests are clearer
Canonical use case: pure functions, parsers, validators, formatters.
func TestParseSize(t *testing.T) {
tests := []struct {
name string
input string
want int64
wantErr bool
}{
{name: "plain bytes", input: "1024", want: 1024},
{name: "kilobytes suffix", input: "4KB", want: 4096},
{name: "empty string", input: "", wantErr: true},
{name: "negative size", input: "-1", wantErr: true},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
got, err := ParseSize(tt.input)
if tt.wantErr {
require.Error(t, err)
return
}
require.NoError(t, err)
assert.Equal(t, tt.want, got)
})
}
}
Every case has the same shape, the loop body is a few lines, and adding a case is one struct literal. No branching, no conditionals.
2. When NOT to Use Table-Driven Tests
- Complex per-case setup —
setupMock/setupFuncfunction fields in the struct mean the table is hiding complexity. Write explicit subtests. - Fewer than 3 cases — the struct definition is more code than two plain test functions.
- Multiple branching paths —
if tt.shouldError/if tt.wantRedirectin the loop body means each branch is a different test pretending to share a structure. Split it.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 171 lines · 139 tokens per session scan A 4af368ec4138
go-test-table-driven is a skill published in the GitHub repository eduardo-sl/go-agent-skills (71 stars, last pushed 23d ago), licensed MIT. It adds 139 tokens to every session and 1,593 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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