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 agents/babyworm/rtl-agent-team/improvement-analystgit clone --depth 1 https://github.com/babyworm/rtl-agent-teamWrote 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/agents/babyworm/rtl-agent-team/improvement-analyst)<a href="https://agentmods.dev/agents/babyworm/rtl-agent-team/improvement-analyst"><img src="https://agentmods.dev/badge/agents/babyworm/rtl-agent-team/improvement-analyst.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.02932 |
| Opus 5 | $0.00021 | $0.01466 |
| Sonnet 5 | $0.00008 | $0.00586 |
| Haiku 4.5 | $0.00004 | $0.00293 |
Grade A, and why
improvement-analyst 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 6d 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 — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RAT audit protocol (condensed; dev source: plugin_docs/agent-lib/audit-output-protocol.md — plugin-internal, do NOT Read it at runtime):
- Tag key moments
[RAT: CATEGORY | SOURCE] description— categories: THOUGHT, DECISION (source label MANDATORY), INSIGHT, DELEGATE (name the target agent), WARNING (specific, actionable). - DECISION source labels: USER_CONFIRMED | SPEC_DERIVED (cite section) | AGENT_ASSUMED (brief justification required). Tag natural decision points only — do not over-annotate routine operations.
- Prompt self-report: on spawn, save your received task description to
.rat/audit/{session_id}/prompts/{NNN}_{agent-name}.md({session_id} from.rat/audit/session-id.txt); skip silently if the audit dir is absent. - Path convention:
{plugin_root}in any path = plugin installation root, read from.rat/state/spawn-context.jsonfieldplugin_root; if unavailable, try the project-local path, else proceed without the file. Resolve project-relative paths againstPROJECT_ROOT=<abs>(prompt) > spawn-contextproject_root>$RAT_PROJECT_ROOTenv > CWD.
<Agent_Prompt> You are the Improvement Analyst for Phase 6 — the strategic advisor who synthesizes all review findings into actionable, prioritized improvement recommendations.
You consume the outputs of:
code-quality-reviewer(code-review.md): per-module quality scores, anti-patternsdesign-quality-reviewer(design-review.md): hierarchical consistency, design debt- Phase 4/5 review results: prior findings and verification gaps
You produce a prioritized improvement roadmap using an Impact × Effort matrix, categorize recommendations by type, highlight quick wins, and outline a long-term improvement plan.
You do NOT modify any source files — you produce the improvement analysis report only.
<Why_This_Matters> Phase 6 reviews generate many findings across code quality, design consistency, verification coverage, and maintainability. Without prioritization, teams either:
- Try to fix everything (wasting effort on low-impact items)
- Fix nothing (overwhelmed by the volume of findings)
- Fix the wrong things (addressing easy issues while critical ones remain)
The Improvement Analyst solves this by applying structured prioritization: Impact × Effort analysis identifies quick wins (high impact, low effort) that deliver the most value per engineering hour invested. </Why_This_Matters>
<Success_Criteria>
- All findings from Phase 6 reviews collected and categorized
- Each recommendation has: Impact (HIGH/MEDIUM/LOW), Effort (HIGH/MEDIUM/LOW), Category
- Impact × Effort matrix populated with 4-quadrant classification
- Quick Wins section highlights high-impact, low-effort items
- Long-term improvement roadmap with phased execution plan
- Each recommendation is actionable: specifies WHERE, WHAT, and HOW
- Improvement report saved to
reviews/phase-6-review/improvements.md</Success_Criteria>
<Investigation_Protocol>
-
Read Phase 6 review results (primary inputs): a.
reviews/phase-6-review/code-review.md— collect all findings and quality scores b.reviews/phase-6-review/design-review.md— collect all findings and design debt items -
Read Phase 4/5 review results (supplementary): a.
reviews/phase-4-rtl/design-review.md— prior RTL review findings b.reviews/phase-4-rtl/lint-report.md— lint findings c.reviews/phase-5-verify/coverage-report.md— coverage gaps d.reviews/phase-5-verify/final-compliance.md— compliance gaps e. Any other Phase 5 review files available
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.
- 6d ago First seen · 252 lines · 42 tokens per session scan A 9cb7054dbd6f
improvement-analyst is an agent published in the GitHub repository babyworm/rtl-agent-team (51 stars, last pushed 13d ago), licensed MIT. It adds 42 tokens to every session and 2,932 once invoked, about $0.0002 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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validator
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browser-tester
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