Chalk Labs
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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/realsigridjin-trace
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.
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About
Use cases: agent-building
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/trace
What's inside
- Skill name
trace- Description
- Show agent flow trace timeline and summary
- License
- MIT
- Instructions
- 30 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Agent Flow Trace [TRACE MODE ACTIVATED] ## Objective Display the flow trace showing how hooks, keywords, skills, agents, and tools interacted during this session. ## Instructions 1. **Use `trace_timeline` MCP tool** to show the chronological event timeline - Call with no arguments to show the latest session - Use `filter` parameter to focus on specific event types (hooks, skills, agents, keywords, tools, modes) - Use `last` parameter to limit output 2. **Use `trace_summary` MCP tool** to show aggregate statistics - Hook fire counts - Keywords detected - Skills activated - Mode transitions - Tool performance and bottlenecks ## Output Format Present the timeline first, then the summary. Highlight: - **Mode transitions** (how execution modes changed) - **Bottlenecks** (slow tools or agents) - **Flow patterns** (keyword -> skill -> agent chains)
From realsigridjin/oh-my-codex, MIT.
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- 0.483score
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SkillDFreshness: D★ 20Claude Code +9 - 0.483score
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ultrawork
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Parallel execution engine for high-throughput task completion
SkillDFreshness: D★ 20Claude Code +9 - 0.480score
ecomode
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Token-efficient model routing modifier
SkillDFreshness: D★ 20Claude Code +9 - 0.480score
release
realsigridjin
Automated release workflow for oh-my-codex
SkillDFreshness: D★ 20Claude Code +9 - 0.480score
help
realsigridjin
Guide on using oh-my-codex plugin
SkillDFreshness: D★ 20Claude Code +9 - 0.480score
configure-telegram
realsigridjin
Configure Telegram bot notifications via natural language
SkillDFreshness: D★ 20Claude Code +9 - 0.480score
autopilot
realsigridjin
Full autonomous execution from idea to working code
SkillDFreshness: D★ 20Claude Code +9 - 0.480score
analyze
realsigridjin
Deep analysis and investigation
SkillDFreshness: D★ 20Claude Code +9
Signals
- Stars
- 20
- Forks
- 6
- Open issues
- 0
- Last commit (this folder)
- Feb 13, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/realsigridjin/oh-my-codex
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from realsigridjin
- 0.483score
swarm
realsigridjin
N coordinated agents on shared task list (compatibility facade over team)
SkillDFreshness: D★ 20Claude Code +9 - 0.483score
tdd
realsigridjin
Test-Driven Development enforcement skill - write tests first, always
SkillDFreshness: D★ 20Claude Code +9 - 0.483score
learn-about-omc
realsigridjin
Learn about your OMC usage patterns and get personalized recommendations
SkillDFreshness: D★ 20Claude Code +9 - 0.483score
configure-discord
realsigridjin
Configure Discord webhook/bot notifications via natural language
SkillDFreshness: D★ 20Claude Code +9 - 0.483score
cancel
realsigridjin
Cancel any active OMC mode (autopilot, ralph, ultrawork, ecomode, ultraqa, swarm, ultrapilot, pipeline, team)
SkillDFreshness: D★ 20Claude Code +9 - 0.483score
ultrawork
realsigridjin
Parallel execution engine for high-throughput task completion
SkillDFreshness: D★ 20Claude 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.
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Cite this page
trace skill. Agent Mart. https://agentmart.dev/skills/realsigridjin-trace (last updated 2026-10-24)