guardrails
EMBEDDED — Pairs success metrics with guardrail metrics to check for trade-offs.
Skill by Amar1404
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/amar1404-guardrails
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/guardrails
What's inside
- Skill name
guardrails- Description
- EMBEDDED — Pairs success metrics with guardrail metrics to check for trade-offs. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke guardrails separately — use ask-question and run-analysis instead, which includes these instructions inline.
- License
- MIT
- Instructions
- 9 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# guardrails This skill's core functionality has been absorbed into **ask-question and run-analysis**. When ask-question and run-analysis triggers, it automatically handles what guardrails used to do. Do not invoke this skill directly. Use ask-question and run-analysis instead.
From Amar1404/AI_ANALYST, MIT.
More from Amar1404/AI_ANALYST
- 0.502score
ask-question
Amar1404
Use this skill for any data question, analytical request, or metric inquiry — it is the entry point for data work.
SkillCFreshness: C★ 1Claude Code +9 - 0.502score
architect
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Run the multi-persona planning methodology to produce a master plan for a new project or feature.
SkillCFreshness: C★ 1Claude Code +9 - 0.501score
connect-data
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Triggers on "connect", "add data source", "link database", "/connect-data", "/datasets".
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
business-context
Amar1404
Interactive browser for your organization's knowledge system.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
forecast
Amar1404
Generate time-series forecasts for key metrics using statistical methods.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
compare-datasets
Amar1404
Compare metrics, findings, and patterns across two or more connected datasets.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
deep-profile
Amar1404
Deep-profile the active dataset to understand schema structure, value distributions, temporal patterns, correlations, completeness gaps, and anomalies.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
design-experiment
Amar1404
Design a controlled experiment (A/B test, multivariate test, or quasi-experiment) with clear hypothesis, success metrics, sample size, and statistical power.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
install-marp
Amar1404
Check if npm is available and install Marp CLI globally for presentation generation.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
define-metric
Amar1404
Define any metric clearly and completely using a standardized template so there is no ambiguity about what is being measured, how it's calculated, or how to…
SkillCFreshness: C★ 1Claude Code +9 - 0.496score
export-results
Amar1404
Triggers on "export", "share", "send to Slack", "make a deck", "/export".
SkillCFreshness: C★ 1Claude Code +9 - 0.489score
data-quality-check
Amar1404
EMBEDDED — Validates data completeness and consistency before analysis.
SkillCFreshness: C★ 1Claude Code +9
Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 15, 2026 (5 months ago)
- Last release
- Jul 8, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Amar1404/AI_ANALYST
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Amar1404
- 0.502score
architect
Amar1404
Run the multi-persona planning methodology to produce a master plan for a new project or feature.
SkillCFreshness: C★ 1Claude Code +9 - 0.502score
ask-question
Amar1404
Use this skill for any data question, analytical request, or metric inquiry — it is the entry point for data work.
SkillCFreshness: C★ 1Claude Code +9 - 0.501score
connect-data
Amar1404
Triggers on "connect", "add data source", "link database", "/connect-data", "/datasets".
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
business-context
Amar1404
Interactive browser for your organization's knowledge system.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
compare-datasets
Amar1404
Compare metrics, findings, and patterns across two or more connected datasets.
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
deep-profile
Amar1404
Deep-profile the active dataset to understand schema structure, value distributions, temporal patterns, correlations, completeness gaps, and anomalies.
SkillCFreshness: C★ 1Claude Code +9
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Cite this page
guardrails skill. Agent Mart. https://agentmart.dev/skills/amar1404-guardrails (last updated 2026-10-24)