Creator · tobihagemann
Last updated · Sep 3, 2026
Propose a turbo skill improvement upstream by filing a GitHub issue against the turbo repo. Use when the user asks to \"contribute to turbo\", \"submit turbo changes\", \"contribute back\", \"suggest a turbo improvement\", or \"upstream my changes\".
Sandbox only
Install targets
Codex install prompt
Install the "contribute-turbo" agent skill from https://github.com/tobihagemann/turbo/tree/main/claude/skills/contribute-turbo. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Propose a turbo skill improvement upstream by filing a GitHub issue against the turbo repo. Use when the user asks to \"contribute to turbo\", \"submit turbo changes\", \"contribute back\", \"suggest a turbo improvement\", or \"upstream my changes\". After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"tobihagemann-contribute-turbo","task":"Install contribute-turbo","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add tobihagemann/turbo --skill contribute-turbo
Maintenance
fresh
5d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
402
73/100 Quality · 76/100 Trust
Coverage tags
Review notes
Permission surface may require sandboxing · Quality score needs review
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
402 GitHub stars
Repo activity
402 stars, 30 forks
Maintenance
5d since push
License
MIT
Install
npx skills add tobihagemann/turbo --skill contribute-turbo
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add tobihagemann/turbo --skill contribute-turboDo not use when
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Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20contribute-turbo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20contribute-turbo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/tobihagemann-contribute-turbo/install
Agent should check
Copy prompt
Task: Use contribute-turbo in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20contribute-turbo%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/tobihagemann-contribute-turbo/install
Install command: npx skills add tobihagemann/turbo --skill contribute-turbo
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/tobihagemann-contribute-turbo/install
LLM text format
/api/skills/tobihagemann-contribute-turbo/install?format=text
Find alternatives
/api/skills/search?q=contribute-turbo&limit=3
Agent prompt
Use contribute-turbo for this task. Review https://www.openagentskill.com/api/skills/tobihagemann-contribute-turbo/install, then install with: npx skills add tobihagemann/turbo --skill contribute-turboRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/tobihagemann-contribute-turbo
LLM text
/api/registry/manifest/tobihagemann-contribute-turbo?format=text
Install alias
/api/registry/install/tobihagemann-contribute-turbo
Recommend
/api/registry/recommend?task=Use%20contribute-turbo%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
GitHub automation
Trust label
Strong shortlist
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO402 GitHub stars
Stars/forks activity
CHECK402 stars, 30 forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Automate repeated work
I need my agent to automate a repeated workflow across tools and files.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Alternative shortlist
Similar skills that may fit this task.
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
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--- name: contribute-turbo description: "Propose a turbo skill improvement upstream by filing a GitHub issue against the turbo repo. Use when the user asks to \"contribute to turbo\", \"submit turbo changes\", \"contribute back\", \"suggest a turbo improvement\", or \"upstream my changes\"." ---
# Contribute Turbo
Propose an improvement to a turbo skill as an issue on `tobihagemann/turbo`.
## Step 1: Identify the Proposed Change
Confirm the local repo exists:
```bash test -d ~/.turbo/repo ```
If it does not, tell the user to run the Turbo setup first and stop.
Detect skills whose installed copy has drifted from the repo baseline:
```bash for skill in ~/.claude/skills/*/; do name=$(basename "$skill") repo_dir=~/.turbo/repo/claude/skills/"$name" [ -d "$repo_dir" ] || continue diff -rq "$skill" "$repo_dir" >/dev/null 2>&1 && continue echo "$name" done ```
For each drifted skill, read both versions of every file that differs and the single version of every file present on one side only. Classify each hunk and each one-sided file:
- **Correction** — a session edit meant to improve the skill upstream. Include it in the proposal. - **Customization** — a persistent local addition that belongs to this machine only (extra workflow steps, personal paths, machine-specific notes, internal references). Leave it out of the proposal. - **Upstream-newer** — content the repo copy carries and the installed copy lacks, left behind by a Skip or Exclude during an earlier update. Leave it out of the proposal. - **Ambiguous** — use `AskUserQuestion` to confirm classification.
When no corrections survive classification, take the proposed change from conversation context instead. When the conversation describes no change either, tell the user there is nothing to contribute and stop.
Present the corrections in a summary table:
``` | # | Skill | Change Summary | |---|-------|----------------| | 1 | /evaluate-findings | Added handling for security-default findings | | 2 | /self-improve | Clarified routing for trusted reviewer feedback | ```
Use `AskUserQuestion` to confirm which corrections to propose.
## Step 2: Craft Contribution Context
For each change, construct a "why" explanation. The goal: the turbo maintainer should understand what happened and why the existing instructions were insufficient, without learning anything about the contributor's project.
Use this template:
> During [general workflow description], the skill's instructions [what was missing or wrong]. This caused [what happened]. The change [what it does] so that [benefit].
**Example:**
> During a code review session, the evaluate-findings skill encountered a finding with `security-default` severity. The existing instructions only handled `critical`, `high`, `medium`, and `low` severities, causing the finding to be silently dropped. The change adds `security-default` to the severity handling table so these findings are properly triaged.
The maintainer implements the change, so state it concretely alongside the "why": the file path under `claude/skills/<name>/`, the step or section it belongs in, and the exact replacement text or a diff.
### Privacy Filter
Before finalizing, verify the whole proposal — the "why" explanation, the cited paths, and the proposed replacement text — contains none of the following:
- Project or repo names - File paths from the user's project - Company or product names - API keys, URLs, or credentials - Business logic or domain-specific terminology that identifies the project - User names beyond the contributor's GitHub handle
Output the drafted proposal as text. Then use `AskUserQuestion` for approval. The user must approve the proposal before proceeding.
## Step 3: Run `/create-issue` Skill
Use `TaskCreate` to create a task for each approved concern. Process concerns in order, one concern per issue.
For each concern, run the `/create-issue` skill, filing against `tobihagemann/turbo` rather than the current project's repo. The approved text from Step 2 is the issue body; leave it as approved rather than re-deriving it from conversation context.
Report each issue URL.
Then use the TaskList tool and proceed to any remaining task.
Source provenance
Decision snapshot
recent repository activity
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for contribute-turbo, ready for a manual X post.
contribute-turbo: Propose a turbo skill improvement upstream by filing a GitHub issue against the turbo repo. U... 402 stars https://www.openagentskill.com/skills/tobihagemann-contribute-turbo?ref=x
Listing + install path for contribute-turbo: https://www.openagentskill.com/skills/tobihagemann-contribute-turbo?ref=x Install: npx skills add tobihagemann/turbo --skill contribute-turbo
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to tobihagemann but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
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@tobihagemann
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Sandbox only
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31.0K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness