Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/UKGovernmentBEIS/inspect_evalsnpx agentmods add skills/ukgovernmentbeis/inspect_evals/ensure-test-coverageWrote 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/ukgovernmentbeis/inspect_evals/ensure-test-coverage)<a href="https://agentmods.dev/skills/ukgovernmentbeis/inspect_evals/ensure-test-coverage"><img src="https://agentmods.dev/badge/skills/ukgovernmentbeis/inspect_evals/ensure-test-coverage/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/ukgovernmentbeis/inspect_evals/ensure-test-coverage"><img src="https://agentmods.dev/badge/skills/ukgovernmentbeis/inspect_evals/ensure-test-coverage.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 | $0.00105 | $0.04665 |
| Opus 5 | $0.00053 | $0.02332 |
| Sonnet 5 | $0.00021 | $0.00933 |
| Haiku 4.5 | $0.00011 | $0.00466 |
Grade A, and why
ensure-test-coverage 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 today.
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 — 352 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ensure Test Coverage
Analyze a single evaluation's test coverage against repository testing conventions. This skill can both review existing tests and create missing ones.
Expected Arguments
When invoked, this skill expects:
- eval_name (required): The name of one or more evaluations to check (e.g.,
gpqa,healthbench)
If not provided, ask the user.
Workflow
Phase 1: Discover Testable Components
Analyze the eval's source code in src/inspect_evals/<eval_name>/ to build a complete inventory of what needs testing.
1.1 Scan for decorated functions
Use AST analysis or grep to find all functions decorated with:
@task- Task entry points (and their parameters/variants)@solver- Custom solvers@scorer- Custom scorers@tool- Custom tools
For each, record: function name, file path, line number, parameters.
1.2 Scan for dataset patterns
Look for:
record_to_samplefunctions (named exactly or as a lambda/callable passed tohf_dataset/csv_dataset/json_dataset)hf_dataset()orload_dataset()calls (indicates HuggingFace datasets)csv_dataset()orjson_dataset()calls- Dataset URLs or paths (for understanding data sources)
1.3 Scan for sandbox usage
Look for:
compose.yamlordocker-compose.yamlfiles in the eval'sdata/directorysandbox()calls in source codeSandboxEnvironmentSpecreferences
1.4 Scan for utility functions
Look for non-trivial helper functions that contain meaningful logic (not just thin wrappers). Functions with:
- Complex branching (if/elif chains)
- Data transformations
- String parsing/formatting
- Score calculations
- File I/O operations
1.5 Identify task variants
Check if the eval has multiple @task functions or a single task with parameters that create meaningfully different variants (e.g., different subsets, different Docker environments, different scorers).
Phase 2: Run Autolint and Measure Coverage
2.1 Run autolint
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.
- today Changed · +11 lines 1e27f0404ad1
- 10d ago First seen · 341 lines · 105 tokens per session scan A 3011d19be6e4
ensure-test-coverage is a skill published in the GitHub repository UKGovernmentBEIS/inspect_evals (664 stars, last pushed today), licensed MIT. It adds 105 tokens to every session and 4,665 once invoked, about $0.0005 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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