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/sapientcoffee-cycle-telemetry
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About
Use cases: agent-building
Reviews
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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
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/cycle-telemetry
What's inside
- Skill name
cycle-telemetry- Description
- Velocity Chess Clock telemetry tracker. Deterministically measures active agent compute time versus human waiting time and syncs metrics into 07_VERIFICATION.md.
- License
- Apache-2.0
- Instructions
- 63 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (2)
- SKILL.md
- measure_cycle_time.py · scripts/
SKILL.md (first lines)
<!--
Copyright 2026 Google LLC
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
https://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
-->
# ⏱️ Skill: Cycle Telemetry (Velocity Chess Clock)
You are executing the **Cycle Telemetry** skill. This skill tracks development velocity by recording active agent compute time versus human waiting time (the "Velocity Chess Clock") deterministically without LLM token consumption.
## Objectives
- Deterministically log transitions between autonomous agent computation and human review.
- Persist structured timestamps and latency deltas in `<plan-dir>/cycle_telemetry.json`.
- Automatically render an up-to-date execution summary block in `07_VERIFICATION.md`.
## Integration Points
1. **Stage 6 (Human Review Gate):**
- When presenting the plan to the human:
```bash
python3 scripts/measure_cycle_time.py log --event human_wait_start --plan-dir "plans/<feature>/<timestamp>"
```
- When the human approves and execution resumes:
```bash
python3 scripts/measure_cycle_time.py log --event human_wait_end --plan-dir "plans/<feature>/<timestamp>"
```
2. **Stage 7 (Implementation & Verification Loop):**
- When subagents or tools start implementation:
```bash
python3 scripts/measure_cycle_time.py log --event agent_exec_start --plan-dir "plans/<feature>/<timestamp>"
```
- When implementation and local verifications complete:
```bash
python3 scripts/measure_cycle_time.py log --event agent_exec_end --plan-dir "plans/<feature>/<timestamp>"
```
3. **Stage 8 / 9 (Walkthrough & PR Delivery):**
- Generate final summary report:
```bash
python3 scripts/measure_cycle_time.py report --plan-dir "plans/<feature>/<timestamp>"
```
## Output Format in `07_VERIFICATION.md`
```markdown
## ⏱️ Cycle Telemetry (Velocity Chess Clock)
| Metric | Value |
| :--- | :--- |
| **Active Agent Compute** | `142.30s` |
| **Human Wait Duration** | `65.10s` |
| **Total Cycle Latency** | `207.40s` |
| **Compute / Total Ratio** | `68.6%` |
```From sapientcoffee/bean-brewer, Apache-2.0.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 9, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/sapientcoffee/bean-brewer
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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github-workflow
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Phase 9 - Provides the process for raising git commits, checking branches, and creating PRs using the gh CLI.
SkillBFreshness: BClaude Code +9 - 0.521score
git-delivery
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grill
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Stage 1 - A relentless Socratic interview to sharpen a plan or design, which also creates docs (ADR's and glossary) as we go.
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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
cycle-telemetry skill. Agent Mart. https://agentmart.dev/skills/sapientcoffee-cycle-telemetry (last updated 2026-10-24)