SKILL verified Apache-2.0 Self-run

Opencrow Utility Toolbox

Name: Opencrow Utility Toolbox
Availability: InStock
Author: 02loveslollipop

skill-02loveslollipop-opencrow-opencrow-utility-toolbox · by 02loveslollipop

Use the OpenCROW utility stack for shell-heavy CTF workflows. Use when an agent needs `jq`, `yq`, `xxd`, `tmux`, `screen`, `rg`, or `fzf` to glue a larger workflow together.

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Install

$ agentstack add skill-02loveslollipop-opencrow-opencrow-utility-toolbox

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

✓ Prompt-injection patterns
✓ Secret / credential exfiltration
✓ Dangerous shell & filesystem operations
✓ Untrusted network calls
✓ Known-malicious package signatures

What it can access

✓ Network access No
✓ Filesystem access No
✓ Shell / process execution No
✓ Environment & secrets No
✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

OpenCROW Utility Toolbox

Runtime preflight

Probe required commands with command -v and Python modules with importlib.util.find_spec before use. Prefer a PATH-resolved OpenCROW MCP helper or the ctf/sage environment when available, then the managed helper or system Python. If a capability is missing, stop that path safely and report the exact missing command or module.

Use this skill when the blocker is shell ergonomics or structured-data processing rather than a challenge-specific exploit primitive. It covers the “glue” layer that makes larger CTF workflows faster: jq, yq, xxd, tmux, screen, ripgrep, and fzf.

Quick Start

Start the MCP server from the installed CLI:

opencrow-utility-mcp

Verify the mapped stack:

python3 scripts/verify_toolkit.py

Workflow

Start with the MCP server and call toolbox_info, toolbox_verify, and toolbox_capabilities.
Use utility_search first when a workspace is large and you need to narrow the problem before opening files manually.
Use utility_json_query or utility_yaml_query when configs, API responses, or challenge metadata need slicing before deeper analysis.
Use utility_hexdump when you need a fast bounded hex view of a file region.
Use tmux or screen when the task benefits from persistent panes or background sessions.
Use the lifecycle MCP tools to record reproducible attempts, findings, and handoffs in the canonical documents.
Use opencrow-init only to initialize a new full-install workspace; skills-only installations intentionally omit it.

Resources

opencrow-utility-mcp: stdio MCP server for typed workspace search, jq/yq queries, and xxd hexdumps.
scripts/verify_toolkit.py: confirm that the mapped workflow helpers are installed.
references/tooling.md: quick guidance for common shell utility choices.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Author: 02loveslollipop
Source: 02loveslollipop/OpenCROW
License: Apache-2.0

Install and usage instructions live in the source repository linked above.

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Versions

v0.1.0 Imported from the upstream source.