sb-improve

sb-improve is a skill for Claude Code, Codex from stablebaseline/mcp. It costs 104 tokens per session (1,831 once invoked), scanned A, original, MIT.

A tool for recording and managing improvements, risks, bugs and follow-up work in Stable Baseline, a company tracking and knowledge system.

In plain words
What is it for?
Use it to search existing items, create or update backlog entries, set categories and priority, add evidence, triage tickets, and close completed work.
Why use it?
It keeps issues in one shared backlog, checks for duplicates and links entries to supporting evidence and source documents.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/stablebaseline/mcp/sb-improve
Any agent
npx skills add stablebaseline/mcp --skill sb-improve
Clone the repo
git clone --depth 1 https://github.com/stablebaseline/mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for sb-improve

README.md
[![agentmods](https://agentmods.dev/badge/skills/stablebaseline/mcp/sb-improve.svg)](https://agentmods.dev/skills/stablebaseline/mcp/sb-improve)
Your own site
<a href="https://agentmods.dev/skills/stablebaseline/mcp/sb-improve"><img src="https://agentmods.dev/badge/skills/stablebaseline/mcp/sb-improve.svg" alt="Measured on agentmods" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,831 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00104 $0.01831
Opus 5 $0.00052 $0.00915
Sonnet 5 $0.00021 $0.00366
Haiku 4.5 $0.00010 $0.00183

Measured 3d ago against content hash 68af69cc6330, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sb-improve 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 3d 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.

microsoft/cowork-plugin/skills/sb-improve/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Stable Baseline: improvements and risks

What this skill does

Captures and maintains the improvements backlog: improvements, risks, bugs and follow-ups, with categories, comments, activity and evidence linked back to source documents. Every change runs under the signed in user's own Stable Baseline identity.

IDs are never hardcoded. Resolve projectId, improvementId and category_id at runtime from listing calls made in this conversation.

Before you log anything

  1. Resolve scope. listOrganisations, listWorkspaces, listProjects. Ask if several projects are accessible.
  2. Search for duplicates first. searchImprovements requires query. Run it before creating. A backlog full of near-identical entries is worse than an empty one. If a close match exists, show it and ask whether to add evidence to that or create a new one.
  3. Check the categories. listImprovementCategories so you use an existing category rather than inventing one.

Creating

createImprovement requires projectId and title. It also takes type, priority, status, source, urgency, category_id, problem_statement, desired_outcome, acceptance_criteria and checklist.

  • Write a real problem_statement and desired_outcome when the user has given you enough. A title alone is rarely actionable later.
  • Set type accurately: an improvement, a risk and a bug are not the same thing and get triaged differently.
  • Set source so the origin is traceable, for example a ticket, a meeting, a document.
  • Never invent a severity or priority. If the user has not said, either ask or leave it at the default and say what you did.

acceptance_criteria and checklist replace the whole array on update, and array order is display order. Fetch with getImprovement, modify, send the whole list back, and echo each existing row id you keep so per-row attribution survives.

Evidence

addImprovementEvidence requires improvementId and summary. It also takes evidenceType, refId, refUrl, rawContent and position.

Read the full file on GitHub · 166 lines

Changes

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.

  1. 3d ago First seen · 166 lines · 104 tokens per session scan A 68af69cc6330

Subscribe to this mod's changes

sb-improve is a skill published in the GitHub repository stablebaseline/mcp (0 stars, last pushed 8d ago), licensed MIT. It adds 104 tokens to every session and 1,831 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 2026-08-31.

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