AgentsView is a local application that collects coding-agent sessions into a searchable database and web interface, including usage and cost statistics. Developers use it to browse, analyze, and track sessions from Claude Code, Codex, and other supported agents, while the catalogue add-ons help operate it.
Borrowing it
Nothing to install: this file belongs to kenn-io/agentsview. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kenn-io/agentsview/main/.agents/skills/testing-without-tautologies/SKILL.mdgit clone --depth 1 https://github.com/kenn-io/agentsviewWrote 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/kenn-io/agentsview/testing-without-tautologies)<a href="https://agentmods.dev/skills/kenn-io/agentsview/testing-without-tautologies"><img src="https://agentmods.dev/badge/skills/kenn-io/agentsview/testing-without-tautologies/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/kenn-io/agentsview/testing-without-tautologies"><img src="https://agentmods.dev/badge/skills/kenn-io/agentsview/testing-without-tautologies.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 182 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00054 | $0.01896 |
| Opus 5.5 | $0.00022 | $0.00758 |
| Sonnet 5.5 | $0.00011 | $0.00379 |
| Haiku 4.5 | $0.00005 | $0.00190 |
Grade A, and why
testing-without-tautologies 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 2mo 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 — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Testing Without Tautologies
Core Idea
Tests should fail when protected behavior breaks. A passing test helps only if it can catch a real problem.
Before writing or changing a test, ask: "What production change should make this test fail?" If you cannot answer, redesign the test.
Quality Gate
Before writing the test body, answer these:
- Who uses this? Prefer public APIs, HTTP responses, SSE events, persisted rows, parsed session output, rendered UI, or CLI output. Avoid private state.
- What example proves it? Use concrete inputs and literal expected outputs. For parsers, hand-write the fixture JSONL and the expected sessions/messages; do not run the parser to generate expectations.
- What break would this catch? Name the wrong branch, missing side effect, wrong argument, boundary case, or contract violation.
- Do we own it? Test our choices at framework, database, and filesystem boundaries. Do not re-test documented dependency mechanics.
- Can you state it? Given this setup, when the user/system does X, then Y observable behavior changes. If Y is not assertable, the test is not ready.
Required Checks
Apply these checks to every new or modified test:
-
Assert observable effects
- Check returned values, rows in the DB, HTTP status and body, emitted SSE events, parsed message content, rendered DOM, or errors.
- A no-assertion test is acceptable only when the failure mode is the subject, such as "this config rejects invalid input." Prefer explicit assertions anyway.
- Use
require.Xfor checks that must abort the test (setup errors, nil receivers, length before indexing) andassert.Xfor independent checks. Neverif got != want { t.Fatalf(...) }in new tests.
-
Make fakes and mocks specific
- Verify arguments, call counts, order, and branches when they are part of the contract.
- Do not let a fake accept any input when the code must pass one value.
What ships with it
1 file 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.
- 2mo ago First seen · 187 lines · 54 tokens per session scan A 27a8ccff18f9
testing-without-tautologies is a skill published in the GitHub repository kenn-io/agentsview (6,376 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 1,896 once invoked, about $0.0002 per session on Opus 5.5. 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.
testing-without-tautologies compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| testing-without-tautologieskenn-io/agentsview | Skill | 6.4k | today | MIT | A | 54 | Codex |
| test-masterJeffallan/claude-skills | Skill | 12k | 7d ago | MIT | A | 104 | Claude Code |
| axiom-testingCharlesWiltgen/Axiom | Skill | 1.3k | yesterday | MIT | A | 38 | Claude Code |
| test-generatorrshankras/claude-code-apple-skills | Skill | 864 | 2d ago | MIT | A | 33 | Claude Code |
| testing-blocksadobe/skills | Skill | 319 | yesterday | Apache-2.0 | A | 61 | Claude Code |
| designing-testsCloudAI-X/claude-workflow-v2 | Skill | 1.4k | 1mo ago | MIT | A | 48 | Claude Code |
| test-automation-expertcuriositech/some_claude_skills | Skill | 263 | yesterday | MIT | A | 133 | Claude Code |