ponytail-gain
Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the agentic benchmark averages. One-shot display. Skill: ponytail-gain Owner: dietrichgebert Summary: Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the agentic benchmark averages. One-shot display. Tags: latest:5.1.0 Version history: v5.1.0 | 2026-10-08T16:21:11.261Z | auto - Updated benchmark data to reflect Ponytail 5 with expanded test set (39 tasks, Opus 5.5, 5 runs each, including hidden quality checks and diverse task ty
Rank
62
Safety
84
Downloads
1.6k
Updated
Oct 10, 2026
Version
5.1.0
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.6K downloads reported by the source. Last updated 10/10/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.6K downloadsadoption · observed Oct 10, 2026
- Latest release
- 5.1.0release · observed Oct 8, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s17beee6vfcnpy9kq5vh15rzzh88rnca:ponytail-gain- Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-dietrichgebert-ponytail-gain/snapshot"
Documentation
CLAWHUB
39,463 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
SKILL.md
---
name: ponytail-gain
description: "Show ponytail measured impact as a scoreboard: less code, less cost, more speed, from the agentic benchmark averages. One-shot display."
homepage: https://github.com/DietrichGebert/ponytail
license: MIT
---
# Ponytail Gain
Display this scoreboard when invoked. One-shot: do NOT change mode, write flag
files, or persist anything.
The figures are the published agentic benchmark of Ponytail 5: headless Claude
Code (Opus 5.5, default effort) on 39 tasks (feature tickets in a real FastAPI +
React repo, bug fixes, security and privacy cases, small apps), 5 runs each,
against the same agent without the skill. 18 of the tasks have hidden checks
for correctness and safety. Each figure is the geometric mean of the per-task
medians. They are measured, not computed from the current repo.
Source: `benchmarks/results/2026-10-07-agentic.md` and the README.
## Scoreboard
Render plain ASCII bars. The bar length shows ponytail as a share of the
no-skill baseline; the label carries the exact figure:
```
ponytail gain benchmark · 39 tasks × 5 runs · Opus 5.5
no-skill ████████████████████ 100%
Lines of code █████████··········· 47% ▼ 53%
Output tokens ███████████········· 55% ▼ 45%
Cost ███████████████····· 74% ▼ 26%
Time ████████████········ 59% ▼ 41%
Hidden checks passed 97% (no-skill 96%)
Tests where the logic needs one 98% (no-skill 68%)
This repo: /ponytail-debt (shortcuts you deferred)
/ponytail-audit (what's still cuttable)
```
## Honesty boundary
These are benchmark averages, not this repo. NEVER print a per-repo savings
number ("you saved X lines/tokens here"): the unbuilt version was never
written, so there is no real baseline to subtract from in a live repo. The
only real per-repo figures come from `/ponytail-debt` (a counted ledger), and
this card points there instead of inventing one.
## Boundaries
One-shot display. Edits nothing, changes no mode.
"stop ponytail" or "normal mode": revert._meta.json
{
"ownerId": "kn75jhs1s4186aj57w94eykzm188rxj8",
"slug": "ponytail-gain",
"version": "5.1.0",
"publishedAt": 1791476471261
}skill-card.md
## Description: Displays published Ponytail 5 benchmark results as a one-shot scoreboard without changing the current repository. This skill is ready for commercial/non-commercial use. ## Publisher: [dietrichgebert](https://clawhub.ai/user/dietrichgebert) ### License/Terms of Use: MIT-0 ## Use Case: Developers and other agent users can view the published Ponytail 5 benchmark comparison for code size, tokens, cost, time, and quality checks without altering their repository. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Published benchmark figures could be mistaken for measured savings in the current repository. Mitigation: Present the figures as published benchmark claims only; do not claim repository-specific savings without a measured baseline. ## Reference(s): - [Ponytail project homepage](https://github.com/DietrichGebert/ponytail) ## Skill Output: **Output Type(s):** [Text] **Output Format:** [Plain-text scoreboard with labeled bars and percentages] **Output Parameters:** [1D] **Other Properties Related to Output:** [One-shot display; no edits, persistent state, or repository-specific savings calculations.] ## Skill Version(s): 5.1.0 (source: ClawHub release metadata) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
AionUi
Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!
activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
cherry-studio
AI productivity studio with smart chat, autonomous agents, and 300+ assistants.
CopilotKit
The Frontend for Agents & Generative UI. React + Angular
Machine-readable data
The same record, as JSON, for agents and crawlers.
{
"facts": [
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Clawhub",
"href": "https://clawhub.ai/dietrichgebert/skills/ponytail-gain",
"sourceUrl": "https://clawhub.ai/dietrichgebert/skills/ponytail-gain",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-10T08:09:47.392Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-dietrichgebert-ponytail-gain/contract",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-dietrichgebert-ponytail-gain/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-10-10T08:09:47.392Z",
"isPublic": true
},
{
"factKey": "traction",
"category": "adoption",
"label": "Adoption signal",
"value": "1.6K downloads",
"href": "https://clawhub.ai/dietrichgebert/ponytail-gain",
"sourceUrl": "https://clawhub.ai/dietrichgebert/ponytail-gain",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-10-10T08:09:47.392Z",
"isPublic": true
},
{
"factKey": "latest_release",
"category": "release",
"label": "Latest release",
"value": "5.1.0",
"href": "https://clawhub.ai/dietrichgebert/ponytail-gain",
"sourceUrl": "https://clawhub.ai/dietrichgebert/ponytail-gain",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-10-08T16:21:11.261Z",
"isPublic": true
},
{
"factKey": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://www.xpersona.co/api/v1/agents/clawhub-dietrichgebert-ponytail-gain/trust",
"sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-dietrichgebert-ponytail-gain/trust",
"sourceType": "trust",
"confidence": "medium",
"observedAt": null,
"isPublic": true
}
],
"events": [
{
"eventType": "release",
"title": "Release 5.1.0",
"description": "- Updated benchmark data to reflect Ponytail 5 with expanded test set (39 tasks, Opus 5.5, 5 runs each, including hidden quality checks and diverse task types). - Revised scoreboard metrics: new figures for code, tokens, cost, and time; added hidden check/test pass rates. - Improved description of benchmark methodology and figures’ calculation (geometric mean of per-task medians). - Removed outdated file: skill-card.md.",
"href": "https://clawhub.ai/dietrichgebert/ponytail-gain",
"sourceUrl": "https://clawhub.ai/dietrichgebert/ponytail-gain",
"sourceType": "release",
"confidence": "medium",
"observedAt": "2026-10-08T16:21:11.261Z",
"isPublic": true
}
]
}Record generated Oct 10, 2026.
