How do I install the 93pct skill?

Run npx skillmds@latest add knownasnaffy/93pct-5 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is 93pct safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with 93pct?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is 93pct free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

knownasnaffy (@knownasnaffy) published this skill. Their other Agent Skills are listed on their SkillMD profile.

93pct by knownasnaffy — Agent Skill

Name: 93pct
Author: knownasnaffy

93pct

Autocomplete for agency next steps. Like Google autocomplete but for what to do next. Given any context, returns the top concrete viable actions ranked by ROI/effort ratio. Always outputs exactly one job ID to approve. Named after the 93% standard — every suggestion must clear that bar.

knownasnaffy Updated Sep 21, 2026 0 repo stars

File contents

Permission Setup Review

python scripts/_init_dirs.py is an optional setup helper for the 93% — Agency Autocomplete skill. It may apply broad filesystem permissions for compatibility. Show the target paths and permission mode, explain the risk, and prefer a narrower mode when shared write access is not needed.

93% — Agency Autocomplete

Doctrine

"Plan Shannon → Penn Station"

Shannon is the currency of information (Claude Shannon, entropy theory).
Penn Station is the commuter hub — where everything converges.
The plan: route all decisions through Shannon (information value) to reach the station (execution).
Low Shannon = entropy = noise = waste.
High Shannon = signal = viable next step.

Usage

python3 /root/.openclaw/workspace/skills/93pct/suggest.py          # top 5 next steps now
python3 /root/.openclaw/workspace/skills/93pct/suggest.py --stack  # show approval stack
python3 /root/.openclaw/workspace/skills/93pct/suggest.py --done <id>  # mark completed

Output format

Each suggestion includes:

Shannon score (0-10, information density)
Effort (minutes)
Blocker (what stops it)
Job ID to approve (if exec needed)
Exact command or action

The 93% Bar

A suggestion clears 93% if:

It is concrete (not "consider doing X")
It is viable right now (blocker is known and solvable)
It produces measurable output
It costs less than it returns

Frequently asked questions