Skip to content
Back to skills

Headroom Estimation

ASecurity

Estimate theoretical/practical ceiling vs current SOTA gap

  • 417 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added May 27, 2026
researchperformance

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned May 27, 2026

npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill headroom-estimation --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Headroom Estimation?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Headroom Estimation
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/yogsoth-ai-headroom-estimation/badge)](https://www.skillsdirectory.com/skills/yogsoth-ai-headroom-estimation)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: headroom-estimation
description: Estimate theoretical/practical ceiling vs current SOTA gap
execution: subagent
prompt: ./prompt.md
input: task_name, current_sota, human_performance, theoretical_bounds
used-by: baseline-establishment
---

# Headroom Estimation


## Purpose

Quantify the remaining improvement potential for a task by estimating various performance ceilings and computing the gap between current SOTA and those ceilings. Distinguishes between theoretical limits (information-theoretic), practical limits (current paradigm), and human performance baselines.

## Input Schema

| Field | Type | Description |
|-------|------|-------------|
| task_name | string | The target task |
| current_sota | object | {method, score, metric, dataset, date} |
| human_performance | object | {score, conditions, source} or null |
| theoretical_bounds | object | {bound_type, value, derivation} or null |

## Output Schema

```json
{
  "task": "string",
  "dataset": "string",
  "metric": "string",
  "ceilings": {
    "theoretical": {
      "value": null,
      "type": "information_theoretic|bayes_optimal|combinatorial",
      "derivation": "string",
      "confidence": "high|medium|low|speculative"
    },
    "human": {
      "value": null,
      "conditions": "string",
      "source": "string",
      "is_expert": true,
      "confidence": "high|medium|low"
    },
    "practical": {
      "value": null,
      "assumptions": "string",
      "based_on": "string",
      "confidence": "medium|low|speculative"
    }
  },
  "headroom": {
    "vs_theoretical": null,
    "vs_human": null,
    "vs_practical": null,
    "interpretation": "string"
  },
  "saturation_assessment": {
    "status": "saturating|active_progress|early_stage|unknown",
    "evidence": "string",
    "years_to_human_parity": null
  }
}
```

Files in this skill

  • SKILL.md1.8 KB
  • prompt.md3.5 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…