Individual skill
ponytail-gain
Show ponytail's measured savings (code, cost, speed) from the benchmark. One-shot display. Use for /ponytail-gain, "what does ponytail save", "ponytail impact".
skills/ponytail-gain/SKILL.md
Source commit 96608e078b2d5ea607c5c3b8b5a54d1c1fba6846
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Local scripts
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 187,248
- Repository last updated
- Oct 29, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- claude Repository topic
- claude-code Repository topic
- claude-code-plugin Repository topic
- cursor-rules Repository topic
- developer-tools Repository topic
- llm Repository topic
- prompt-engineering Repository topic
- yagni Repository topic
- engineering Derived category
Files and excerpt
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SKILL.mdcore · 2,164 bytes
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# 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