sync-metadata
Reconcile task metadata between selected_benchmark_tasks.json and task.toml files.
Skill by sourcegraph
Chalk Labs
Need help deploying sync-metadata?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sourcegraph-sync-metadata
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: productivity
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/sync-metadata
What's inside
- Skill name
sync-metadata- Description
- Reconcile task metadata between selected_benchmark_tasks.json and task.toml files. Finds and fixes drift. Triggers on sync metadata, check metadata, metadata mismatch, reconcile tasks.
- License
- Apache-2.0
- Instructions
- 44 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Sync Metadata Ensure task.toml files match the authoritative `selected_benchmark_tasks.json` registry. ## What It Catches - Language mismatches (task.toml says "python" but selection says "go") - Difficulty label drift (task.toml says "medium" but selection says "hard") - Missing task.toml files for selected tasks ## Steps ### 1. Run the sync check ```bash cd ~/CodeScaleBench && python3 scripts/sync_task_metadata.py ``` ### 2. Present mismatches Show any fields where task.toml disagrees with selected_benchmark_tasks.json. ### 3. Offer to fix If mismatches found: ```bash python3 scripts/sync_task_metadata.py --fix ``` This updates the task.toml files to match the selection registry. ## Variants ### Filter to one suite ```bash python3 scripts/sync_task_metadata.py --suite csb_sdlc_pytorch ``` ### JSON output ```bash python3 scripts/sync_task_metadata.py --format json ```
From sourcegraph/CodeScaleBench, Apache-2.0.
More from sourcegraph/CodeScaleBench
- 0.499score
validate-tasks
sourcegraph
Pre-flight validation of benchmark tasks before launching runs.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
cost-report
sourcegraph
Token and cost analysis per run, suite, and config.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
run-status
sourcegraph
Quick status check on the currently active benchmark run.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
triage-failure
sourcegraph
Investigate a specific failed benchmark task — read logs, identify root cause, check if known pattern, suggest fix.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
whats-next
sourcegraph
Analyze current benchmark state and recommend what to work on next.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
check-infra
sourcegraph
Verify infrastructure readiness before launching benchmark runs — tokens, Docker, disk, credentials.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
compare-configs
sourcegraph
Compare benchmark results across agent configurations (baseline, SG_full).
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
archive-run
sourcegraph
Archive old completed benchmark runs to save disk space and speed up scans.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
quick-rerun
sourcegraph
Run a single benchmark task locally to verify a fix.
SkillDFreshness: D★ 37Claude Code +9 - 0.495score
ir-analysis
sourcegraph
Compute information retrieval quality metrics (precision, recall, MRR, nDCG, MAP) comparing file retrieval across baseline and MCP configs against ground truth.
SkillDFreshness: D★ 37Claude Code +9 - 0.495score
repo-health
sourcegraph
Run the repo health gate before commit or push to reduce doc drift and keep branches clean.
SkillDFreshness: D★ 37Claude Code +9 - 0.495score
generate-report
sourcegraph
Generate the aggregate CSB evaluation report from completed Harbor runs.
SkillDFreshness: D★ 37Claude Code +9
Signals
- Stars
- 37
- Forks
- 5
- Open issues
- 0
- Last commit (this folder)
- Mar 17, 2026 (7 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/sourcegraph/CodeScaleBench
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from sourcegraph
- 0.499score
archive-run
sourcegraph
Archive old completed benchmark runs to save disk space and speed up scans.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
quick-rerun
sourcegraph
Run a single benchmark task locally to verify a fix.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
check-infra
sourcegraph
Verify infrastructure readiness before launching benchmark runs — tokens, Docker, disk, credentials.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
compare-configs
sourcegraph
Compare benchmark results across agent configurations (baseline, SG_full).
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
cost-report
sourcegraph
Token and cost analysis per run, suite, and config.
SkillDFreshness: D★ 37Claude Code +9 - 0.499score
run-status
sourcegraph
Quick status check on the currently active benchmark run.
SkillDFreshness: D★ 37Claude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get sync-metadata running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
sync-metadata skill. Agent Mart. https://agentmart.dev/skills/sourcegraph-sync-metadata (last updated 2026-10-24)