Agent skill

Steep Framework

by revfactory in revfactory/harness-100

A STEEP macro-environment analysis methodology for systematic identification of scenario planning variables.

Apache-2.0Auto-check passedResearch & Science

Install Steep Framework

skills CLI
$ npx skills add revfactory/harness-100 --skill steep-framework -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install revfactory/harness-100 steep-framework --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/52-scenario-planner/.claude/skills/steep-framework .claude/skills/steep-framework && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
steep-framework
GitHub stars
1.3k
Token cost
~871 tokens
SKILL.md length
287 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

A STEEP macro-environment analysis methodology for systematic identification of scenario planning variables.

  • Works in 5 steps: Current State: What is happening now? → Direction of Change: Which way is the… → Speed of Change: How fast?… → …
  • Tasks that involve Econometrics and empirical research
  • SKILL.md covers Target Agent, STEEP 6-Dimension Scanning, Uncertainty-Impact Matrix and Trend Classification
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Steep Framework is an agent skill from revfactory/harness-100. A STEEP macro-environment analysis methodology for systematic identification of scenario planning variables. Used by the variable-analyst agent for comprehensive environmental scanning. Automatically applied in contexts such as 'STEEP analysis', 'macro-environment analysis', 'environmental scanning', 'driving forces', 'megatrends'. However, real-time data collection and econometric model construction are outside the scope of this skill.

Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Econometrics and empirical research. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Econometrics and empirical research

Example prompts

  • “STEEP analysis”
  • “macro-environment analysis”
  • “environmental scanning”
  • “/steep-framework”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Current State: What is happening now?
  2. Direction of Change: Which way is the trend moving?
  3. Speed of Change: How fast? (Gradual/Rapid/Discontinuous)
  4. Certainty: Is this predetermined or uncertain?
  5. Impact: How does it affect our industry/organization?

What it can do on your machine

Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Steep Framework loads about 871 tokens when it runs. Until then it costs about 114 tokens; SKILL.md has 287 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~871

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 287 words, ~871 tokens.

Download SKILL.mdSave it as .claude/skills/steep-framework/SKILL.md (or your agent's skills folder).
name
steep-framework
description
A STEEP macro-environment analysis methodology for systematic identification of scenario planning variables. Used by the variable-analyst agent for comprehensive environmental scanning. Automatically applied in contexts such as 'STEEP analysis', 'macro-environment analysis', 'environmental scanning', 'driving forces', 'megatrends'. However, real-time data collection and econometric model construction are outside the scope of this skill.

STEEP Framework — Macro-Environment Analysis Tool

A specialized skill that enhances the environmental scanning capabilities of the variable-analyst agent.

Target Agent

  • variable-analyst — Systematic identification of key variables using the STEEP framework

STEEP 6-Dimension Scanning

Dimension Definitions
DimensionScopeExample Variables
S SocialDemographics, lifestyle, values, educationAging population, remote work adoption, DEI awareness
T TechnologicalInnovation, adoption rate, disruptionAI adoption, quantum computing, cybersecurity threats
E EconomicGrowth, inflation, trade, labor marketInterest rate changes, supply chain restructuring, gig economy
E EnvironmentalClimate, resources, sustainabilityCarbon regulation, ESG pressure, resource scarcity
P PoliticalGovernment policy, regulation, geopoliticsData privacy regulation, trade wars, political polarization
L LegalLaws, compliance, intellectual propertyAntitrust regulation, labor law changes, patent disputes
Scanning Checklist per Dimension

For each dimension, investigate:

  1. Current State: What is happening now?
  2. Direction of Change: Which way is the trend moving?
  3. Speed of Change: How fast? (Gradual/Rapid/Discontinuous)
  4. Certainty: Is this predetermined or uncertain?
  5. Impact: How does it affect our industry/organization?

Uncertainty-Impact Matrix

4-Quadrant Classification
Impact (High)
    |  Q2: Predetermined     Q1: Scenario Drivers
    |  (Certain Trends)      (Matrix Axes)
    |  → Apply to all        → 2 axes for matrix
    |    scenarios
    |
    |  Q4: Background         Q3: Monitor
    |  (Ignore)               (Wild Cards)
    |  → Minimal attention    → Watch list
    |
Impact (Low)
    +--- Uncertainty (Low) ---- Uncertainty (High)
Assessment Criteria
ScoreUncertaintyImpact
5Completely unpredictable, multiple possible outcomesExistential impact on business model
4Difficult to predict, 2-3 plausible outcomesSignificant impact on core revenue
3Somewhat predictable but variableModerate impact on operations
2Mostly predictable with minor variationsLimited departmental impact
1Nearly certain, single expected outcomeNegligible impact

Trend Classification

  • High certainty of direction (uncertainty score 1-2)
  • Applied as constants across all scenarios
  • Example: Aging population in developed nations
Critical Uncertainties
  • High uncertainty AND high impact (Q1 quadrant)
  • Used as scenario matrix axes
  • Example: AI regulation direction (restrictive vs. permissive)
Wild Cards
  • Low probability but potentially high impact events
  • Included as shock events within specific scenarios
  • Example: Pandemic, technology breakthrough, geopolitical crisis

© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in en/52-scenario-planner/.claude/skills/steep-framework of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Steep Framework next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Steep Framework compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Steep Framework this skillrevfactory/harness-1001.3k—~871Automated safety check: PassApache-2.0
Statadylantmoore/stata-skill2911 repos~4.2kAutomated safety check: PassCustom licence
Stata C Pluginsdylantmoore/stata-skill2911 repos~5.8kAutomated safety check: PassCustom licence
Example Datasetspymc-labs/CausalPy1.2k—~587Automated safety check: PassApache-2.0
Stata AuditSepineTam/mcp-for-stata263—~1.2kAutomated safety check: PassAGPL-3.0
Stata Skill Contributordylantmoore/stata-skill2911 repos~2.4kAutomated safety check: PassCustom licence

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Questions about Steep Framework

What does Steep Framework do?

A STEEP macro-environment analysis methodology for systematic identification of scenario planning variables. Steep Framework is an agent skill from revfactory/harness-100. A STEEP macro-environment analysis methodology for systematic identification of scenario planning variables.

When should I use Steep Framework?

Steep Framework fits situations like: tasks that involve Econometrics and empirical research.

How do I install Steep Framework in Claude Code?

Run `npx skills add revfactory/harness-100 --skill steep-framework -a claude-code`. Or copy the skill folder (en/52-scenario-planner/.claude/skills/steep-framework in revfactory/harness-100) into .claude/skills/steep-framework in your project. Claude Code loads it when a task matches its description.

How do I install Steep Framework in Codex?

Run `npx skills add revfactory/harness-100 --skill steep-framework -a codex`. Or copy the skill folder (en/52-scenario-planner/.claude/skills/steep-framework in revfactory/harness-100) into .agents/skills/steep-framework in your project. Codex loads it when a task matches its description.

Can I use Steep Framework in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill steep-framework -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/steep-framework, .gemini/skills/steep-framework, .github/skills/steep-framework and .opencode/skills/steep-framework in your project.

What does Steep Framework need to run?

SKILL.md names no scripts, command-line tools or credentials: Steep Framework is instructions for the agent only.

Does Steep Framework access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Steep Framework safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Steep Framework use?

Steep Framework is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Steep Framework use?

About 871 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Steep Framework?

Skills that share tags, products or a category with Steep Framework: Stata (dylantmoore/stata-skill, 291 stars), Stata C Plugins (dylantmoore/stata-skill, 291 stars), Example Datasets (pymc-labs/CausalPy, 1.2k stars) and Stata Audit (SepineTam/mcp-for-stata, 263 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Steep Framework?

revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.

Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.