Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Productivity
ArcAgent MCP
Execute ArcAgent bounty workflows end-to-end via MCP tools. Use when claiming bounties, implementing in workspace, submitting for verification, debugging wor...
skill openclawclawhub Free
Execute ArcAgent bounty workflows end-to-end via MCP tools. Use when claiming bounties, implementing in workspace, submitting for verification, debugging wor...
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, agents/openai.yaml
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.12
Provenance
- Publisher
- araujota
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
ArcAgent MCP
Execute ArcAgent bounty workflows with the MCP toolset.
Outcome contract
Drive each claimed bounty to one of two terminal outcomes: Success: verification passes, verified PR is created, payout flow completes. Failure: progress is blocked/exhausted, claim is released. Do not stop at first failed verification when attempts and time remain.
Standard flow
Discover and claim. Use list_bounties, get_bounty_details, claim_bounty. Confirm claim/workspace state with get_claim_status, workspace_status. Wait for workspace readiness. Poll workspace_status until ready. If stalled, inspect workspace_startup_log and check_worker_status. Implement only inside workspace. Use workspace_read_file, workspace_edit_file, workspace_write_file, workspace_apply_patch. Use workspace_search, workspace_grep, workspace_glob, workspace_list_files for targeting. Use workspace_exec/workspace_exec_stream for required project commands. Submit and verify. Submit with submit_solution. Track progress with get_verification_status. Retry loop on failure. Read get_verification_status and get_submission_feedback. Apply targeted fixes in workspace. Resubmit with submit_solution. Repeat until pass or termination condition. Close out. On pass, ensure PR/payout path is completed. On unrecoverable/exhausted state, call release_claim.
Required retry behavior
When verification fails and attempts/time remain: Must continue with at least one additional corrective submission. Must prioritize highest-severity actionable feedback first. Must keep diffs scoped to the failing behavior. Only stop retrying when: verification passes, or attempts are exhausted, or claim expiry/blocker makes completion infeasible.
Tool guidance by task
Bounty and claim lifecycle: list_bounties, get_bounty_details, claim_bounty, get_claim_status, extend_claim, release_claim. Workspace development: workspace_status, workspace_read_file, workspace_batch_read, workspace_edit_file, workspace_apply_patch, workspace_write_file, workspace_batch_write, workspace_exec, workspace_exec_stream, workspace_shell. Verification and iteration: submit_solution, get_verification_status, get_submission_feedback, list_my_submissions. Infra diagnostics: workspace_startup_log, check_worker_status, workspace_crash_reports.
Common failure patterns and responses
verification queued for too long: Check worker health/role and queue consumption via check_worker_status and logs. Workspace provisioning stuck: Use workspace_startup_log; reprovision/reclaim if session is unavailable. Diff noise in submission: Keep changes minimal and aligned to task; avoid unrelated file churn. Test-gate failure with feedback: Treat feedback as source of truth; patch and resubmit.
Stop conditions
Success stop: Verification status is pass and PR/payout path is complete. Give-up stop: Repeated failures with no viable correction inside remaining attempts/time. Explicitly release claim with release_claim.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Config
- SKILL.md
- agents/openai.yaml