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 agentmods add commands/reliverse/experiments/improve-code-qualitygit clone --depth 1 https://github.com/reliverse/experimentsWhat 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 | $0.00000 | $0.02998 |
| Opus 5 | $0.00000 | $0.01499 |
| Sonnet 5 | $0.00000 | $0.00600 |
| Haiku 4.5 | $0.00000 | $0.00300 |
Grade A, and why
improve-code-quality 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 — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Improve code quality (clarity, DRY, modularity)
Purpose
This command guides the AI to improve a package library's code quality using a systematic refactoring approach. The goal is to enhance code clarity, reduce duplication (DRY), improve modularity, and maintainability while ensuring functionality remains intact.
Packages to Improve
The following packages should be improved in priority order (packages with older lastImproved timestamps should be prioritized):
| # | Package | Last Improved | Status | Notes |
|---|---|---|---|---|
| 0 | @reliverse/dler |
- | - | - |
| 1 | @reliverse/build |
- | - | - |
| 2 | @reliverse/bump |
- | - | - |
| 3 | @reliverse/config |
- | - | - |
| 4 | @reliverse/datetime |
- | - | - |
| 5 | @reliverse/helpers |
- | - | - |
| 6 | @reliverse/mapkit |
- | - | - |
| 7 | @reliverse/matcha |
- | - | - |
| 8 | @reliverse/pathkit |
- | - | - |
| 9 | @reliverse/publish |
- | - | - |
| 10 | @reliverse/relico |
- | - | - |
| 11 | @reliverse/relifso |
- | - | - |
| 12 | @reliverse/relinka |
- | - | - |
| 13 | rempts |
- | - | - |
| 14 | @reliverse/tsconfig |
- | - | - |
| 15 | @reliverse/typerso |
- | - | - |
Metadata Fields:
- Last Improved: Timestamp (CET timezone) when code quality improvements were last completed (format:
YYYY-MM-DD HH:mm:ss) - Status: Current improvement status (
pending,in-progress,completed,skipped)in-progress: ⚠️ CRITICAL: If a package has statusin-progress, it means another AI agent is currently working on it. DO NOT select or work on packages with this status. Skip them and move to the next available package.
- Notes: Any relevant information about the package or improvement results
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 First seen · 313 lines · 0 tokens per session scan A bb8bbc38e299
improve-code-quality is a command published in the GitHub repository reliverse/experiments (118 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,998 tokens. 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 2026-09-01.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.