Borrowing it
Nothing to install: this file belongs to satanyakiv/NutriSport. 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/satanyakiv/NutriSport/main/.claude/skills/kover-analyze/SKILL.mdgit clone --depth 1 https://github.com/satanyakiv/NutriSportWrote 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/satanyakiv/nutrisport/kover-analyze)<a href="https://agentmods.dev/skills/satanyakiv/nutrisport/kover-analyze"><img src="https://agentmods.dev/badge/skills/satanyakiv/nutrisport/kover-analyze/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/satanyakiv/nutrisport/kover-analyze"><img src="https://agentmods.dev/badge/skills/satanyakiv/nutrisport/kover-analyze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00065 | $0.01124 |
| Opus 5 | $0.00032 | $0.00562 |
| Sonnet 5 | $0.00013 | $0.00225 |
| Haiku 4.5 | $0.00006 | $0.00112 |
Grade A, and why
kover-analyze 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 12d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze Kover coverage report. Filter: $ARGUMENTS
Process
Step 1 — Generate XML report
Run ./gradlew koverXmlReport to produce a JaCoCo-format XML report.
The report location: build/reports/kover/xml/report.xml
If the build fails, use /debug-deps to diagnose.
Step 2 — Parse XML report
Read build/reports/kover/xml/report.xml. For each <class> element, extract LINE coverage from the <counter type="LINE"> element:
coverage% = covered / (covered + missed) * 100
If $ARGUMENTS contains a module filter (e.g., :network), only include classes whose package matches that module.
Step 3 — Classify classes
Classify each class into one of these categories using pattern matching (check in order — first match wins):
| Category | Pattern | Testable? | Target |
|---|---|---|---|
| Generated | *.generated.resources.*, *BuildConfig* |
EXCLUDE | — |
| Screen/Preview | *Screen*, *Preview*, *ComposableSingletons* |
EXCLUDE | — |
| DI/Navigation | com.nutrisport.di.*, com.nutrisport.navigation.* |
EXCLUDE | — |
| Database | com.nutrisport.database.* |
EXCLUDE | — |
| Analytics | com.nutrisport.analytics.* |
EXCLUDE | — |
| Component | *.component.* |
EXCLUDE | — |
| DTO | *Dto, *.dto.* |
EXCLUDE | — |
| UI Model | *Ui (in feature package) |
EXCLUDE | — |
| Domain Model | *.shared.domain.* (data class, no logic) |
EXCLUDE | — |
| ViewModel | *ViewModel* |
TEST | 80%+ |
| UseCase | *UseCase*, *.usecase.* |
TEST | 90%+ |
| Repository | *Repository*, *RepositoryImpl* |
TEST | 70%+ |
| Mapper | *Mapper*, *.mapper.* |
TEST | 90%+ |
| Utils | *.shared.util.* |
TEST | 90%+ |
| Other | everything else | REVIEW | — |
Step 4 — Output report
Generate a report with 4 sections:
A) Summary
Table of testable categories with current vs target coverage:
| Category | Classes | Current | Target | Status |
|------------|---------|---------|--------|--------|
| ViewModel | 5 | 62% | 80% | BELOW |
| UseCase | 7 | 88% | 90% | BELOW |
| Repository | 4 | 71% | 70% | OK |
| Mapper | 3 | 95% | 90% | OK |
| Utils | 2 | 85% | 90% | BELOW |
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.
- 12d ago First seen · 100 lines · 65 tokens per session scan A 8051b4b869d7
kover-analyze is a skill published in the GitHub repository satanyakiv/NutriSport (11 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 1,124 once invoked, about $0.0003 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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