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Sprint OS
by
Batsirai Chada
· GitHub ↗
· v1.0.0
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Install in OpenClaw
/install sprint-os
Description
5-minute sprint operating system for AI agents. Autonomous execution cycles: ASSESS → PLAN → SCOPE → EXECUTE → MEASURE → ADAPT → LOG → NEXT. Includes optiona...
Usage Guidance
This skill appears coherent and low-risk, but take these practical steps before enabling it: (1) If you enable Convex logging, only set CONVEX_SPRINT_URL to a Convex deployment you control or trust — do not point it at unknown endpoints. (2) Review the included log-sprint.sh to confirm log file path (SPRINT_LOG_FILE) and payload format meet your privacy needs. (3) Be aware the SKILL.md instructs the agent to read 'relevant files' in the workspace — if you need to limit file/network access, run the skill in a restricted environment or sandbox. (4) If you do not want network calls, simply leave CONVEX_SPRINT_URL unset and the skill will log locally.
Capability Analysis
Type: OpenClaw Skill
Name: sprint-os
Version: 1.0.0
The skill requests broad 'network' permissions in SKILL.md ('any resources needed for sprint work'), which could be interpreted too broadly by an AI agent. The `scripts/log-sprint.sh` script sends user-controlled data (sprint details) to an external, user-defined `CONVEX_SPRINT_URL`. While this is an intended feature for logging, it represents a data exfiltration vector if the `CONVEX_SPRINT_URL` is compromised or maliciously configured. The script also directly interpolates user-provided arguments into a JSON payload for `curl`, which could be a vulnerability if inputs are not sanitized, though not immediately exploitable for shell injection in this specific `curl -d` context. These are risky capabilities and potential vulnerabilities, but there is no clear evidence of intentional malicious behavior.
Capability Assessment
Purpose & Capability
The skill claims to run short execution sprints and log them. The included bash logger writes to a local markdown log and can POST to an optional Convex URL. Requesting filesystem access (to write sprint-log.md) and optional network access to a Convex endpoint aligns with the stated purpose; there are no unrelated env vars, binaries, or install steps required.
Instruction Scope
SKILL.md instructs the agent to 'read the active task list, relevant files, and recent sprint log' — that is coherent for a sprinting agent but implies the agent may access arbitrary workspace files. The permission text also says 'network: ... any resources needed for sprint work', which is broader than strictly necessary (Convex only). This is reasonable for an autonomous operator skill but you should be aware it grants the agent discretion to read workspace files and make network requests beyond Convex unless you limit those permissions.
Install Mechanism
There is no install spec (instruction-only skill) and no remote downloads. The only shipped executable is a small bash script (log-sprint.sh). Convex setup instructions reference Node.js for an optional backend, but that is optional and not performed automatically by the skill. This is low-risk from an install perspective.
Credentials
There are no required credentials. The only environment variable used is the optional CONVEX_SPRINT_URL (and the script respects SPRINT_LOG_FILE for log path). No secrets, API keys, or unrelated credentials are requested by the skill itself.
Persistence & Privilege
always is false and the skill does not request to modify other skills or system-wide settings. It can be invoked autonomously (platform default), which is expected for an operator-style skill; this by itself is not a red flag given the rest of the footprint.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install sprint-os - After installation, invoke the skill by name or use
/sprint-os - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — 5-minute sprint operating system for AI agents
Metadata
Frequently Asked Questions
What is Sprint OS?
5-minute sprint operating system for AI agents. Autonomous execution cycles: ASSESS → PLAN → SCOPE → EXECUTE → MEASURE → ADAPT → LOG → NEXT. Includes optiona... It is an AI Agent Skill for Claude Code / OpenClaw, with 458 downloads so far.
How do I install Sprint OS?
Run "/install sprint-os" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Sprint OS free?
Yes, Sprint OS is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Sprint OS support?
Sprint OS is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Sprint OS?
It is built and maintained by Batsirai Chada (@batsirai); the current version is v1.0.0.
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