gsd-tools

gsd-tools is a skill for Claude Code from a5c-ai/babysitter. It costs 62 tokens per session (1,961 once invoked), scanned A, original, MIT.

A shared utility layer for GSD project operations. It reads configuration, creates slugs, formats timestamps, resolves planning paths, manages quick-task numbering, and checks project state.

In plain words
What is it for?
It helps initialize and validate the .planning directory, load settings, generate names, parse phase numbers, and manage quick tasks.
Why use it?
It gives the workflow one consistent place for common file, configuration, and project-status operations.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit It helps initialize and validate the .planning directory, load settings, generate names, parse phase numbers, and manage quick tasks.

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Install with agentmods
npx agentmods add skills/a5c-ai/babysitter/gsd-tools
About the project

Babysitter is a workflow engine for AI coding agents that enforces predefined steps, quality checks, human approvals, and decision records. It is used to coordinate complex, repeatable agent workflows across supported coding tools. The catalogue contains skills, agents, instructions, settings, a plugin, and an MCP integration for its workflow.

a5c-ai/babysitter · 1,778 stars · on GitHub · a5c.ai

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.

Any agent
npx skills add a5c-ai/babysitter --skill gsd-tools
Clone the repo
git clone --depth 1 https://github.com/a5c-ai/babysitter

Made for: Claude Code.

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 gsd-tools

README.md
[![agentmods](https://agentmods.dev/badge/skills/a5c-ai/babysitter/gsd-tools.svg)](https://agentmods.dev/skills/a5c-ai/babysitter/gsd-tools)
Your own site
<a href="https://agentmods.dev/skills/a5c-ai/babysitter/gsd-tools"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/gsd-tools.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,961 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Memory Poisoning · line 234
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
How audits are shown
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 5.1 $0.00062 $0.01961
Opus 5 $0.00031 $0.00981
Sonnet 5 $0.00012 $0.00392
Haiku 4.5 $0.00006 $0.00196

Measured 5d ago against content hash 5dd998f56e77, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

gsd-tools 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 5d 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.

library/methodologies/gsd/skills/gsd-tools/SKILL.md · 244 lines

How it starts

The opening of the file, as written. The whole thing — 244 lines — stays where its author put it; the contents beside it link to each section on GitHub.

  • Load and manage .planning/config.json configuration
  • Generate deterministic slugs from descriptions (kebab-case, deduplication)
  • Format timestamps for GSD artifact headers and frontmatter
  • Resolve paths within the .planning/ directory structure
  • Parse and normalize phase numbers (integer and decimal)
  • Manage sequential quick task numbering in .planning/quick/
  • Initialize and validate .planning/ directory structure
  • Detect project state (new project, existing project, mid-phase, etc.)

Capabilities

1. Configuration Loading

Load and parse .planning/config.json with defaults:

{
  "profile": "balanced",
  "autoCommit": true,
  "autoVerify": true,
  "planCheckerEnabled": true,
  "maxPlanRevisions": 2,
  "waveParallelization": true,
  "contextMonitor": true,
  "contextWarningThreshold": 70,
  "contextCriticalThreshold": 85,
  "summaryVariant": "standard",
  "tddEnabled": false,
  "questioningDepth": "adaptive"
}

Read config:

cat .planning/config.json

If config does not exist, create with defaults. Merge user overrides with defaults (user values take precedence).

2. Slug Generation

Generate kebab-case slugs from descriptions:

Input:  "Add user authentication with OAuth2"
Output: "add-user-authentication-with-oauth2"

Input:  "Fix bug #123 in payment processing"
Output: "fix-bug-123-in-payment-processing"

Rules:

  • Lowercase all characters
  • Replace spaces and special characters with hyphens
  • Remove consecutive hyphens
  • Trim leading/trailing hyphens
  • Maximum 60 characters (truncate at word boundary)
  • Check for duplicates in target directory, append -2, -3 if needed

3. Timestamp Formatting

Format timestamps for GSD artifacts:

Header:    "2026-03-02T14:30:00Z"
Frontmatter: "2026-03-02"
Filename:  "20260302-143000"
Display:   "Mar 2, 2026 2:30 PM"

4. Path Operations

Resolve paths within .planning/ structure:

Phase directory:    .planning/phase-{N}/
Plan file:          .planning/phase-{N}/PLAN-{M}.md
Summary file:       .planning/phase-{N}/SUMMARY.md
Quick task:         .planning/quick/{NNN}-{slug}/
Debug session:      .planning/debug/{slug}.md
Codebase docs:      .planning/codebase/
Research docs:      .planning/research/
Milestone archive:  milestones/v{X}.{Y}/

Read the full file on GitHub · 244 lines

Files

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.

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. 5d ago First seen · 244 lines · 62 tokens per session scan A 5dd998f56e77

Subscribe to this mod's changes

gsd-tools is a skill published in the GitHub repository a5c-ai/babysitter (1,778 stars, last pushed 2d ago), licensed MIT. It adds 62 tokens to every session and 1,961 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 2026-09-03.