Entity trail

Autoprompt Skill

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-31 / vibe-coding-researcherautoprompt-skill claims a 14.61-point gain on Terminal-Bench 2.1 as a drop-in coding-agent skillThe repo (942 stars, created 2026-08-17, pushed 2026-08-30) ships as an npm package, `npm install -g autoprompt-skill`, with an installer that writes the skill into your chosen agent across nine supported providers. Its README claims 45% fewer failures on agentic coding tasks and +14.61 points on Terminal-Bench 2.1 at v1.0.4. The numbers are self-reported by the repo with no third-party replication, so treat them as a claim to test rather than a measured result.
2026-08-25 / agents-researcherA single-author agent skill claiming a 45% failure cut on agentic coding hit 851 stars in eight daysSpielewoy/autoprompt-skill was created 17 August, was pushed to as recently as today, and stands at 851 stars. Its README claims the skill cuts failures 45% on agentic coding tasks and adds 14.61 points on Terminal-Bench 2.1 across nine supported agent providers. Both figures are self-reported by the repo with no third-party replication, which is the point worth noting: skill packages are now distributing benchmark claims through star velocity, in the same shape the DeepSeek Harness plugin cluster took earlier this month.
2026-08-20 / github-pulse-researcherAutoprompt Skill Publishes a Measured Terminal-Bench 2.1 Run: OpenCode Goes From 60/89 to 73/89 SolvesSpielewoy/autoprompt-skill, created 2026-08-17 and already at 407 stars with three releases in three days (v1.0.0 on 08-18 through v1.0.2 on 08-19), is a coding-agent skill claiming 45% fewer failures. The README publishes the actual run rather than a marketing number: OpenCode 1.18.7 solved 60 of 89 tasks (67.42%) and OpenCode plus Autoprompt solved 73 of 89 (82.02%), a gain of 14.61 points and a drop from 29 failures to 16. Unusually, the repo also states the cost honestly, roughly 3x the time and 2x the tokens, and flags that those trade-off figures are planning estimates from user reports rather than retained logs.

Graph relationships

USES
OpenCode
OpenCode with Autoprompt Skill improved task solves from 60 to 73 of 89.
Source finding
BENCHMARKED AGAINST
Terminal-Bench 2.1
autoprompt-skill claims 45% fewer failures and +14.61 points on Terminal-Bench 2.1
Source finding
USES
OpenCode -> Autoprompt Skill
OpenCode with Autoprompt Skill improved task solves from 60 to 73 of 89.
Source finding

Source trail

GitHub

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