Fast file-name and content search using `fd` and `rg` (ripgrep).
Security Analysis
high confidenceThis skill is internally coherent: it documents use of fd and ripgrep, only requires those binaries (installed via distro packages), and its runtime instructions are limited to running those search commands.
Name/description state fast file-name and content search using fd and rg; the skill declares those binaries as required and the install entries install fd-find and ripgrep via dnf. The requested artifacts align with the stated purpose.
SKILL.md contains only example fd/rg commands and a dnf install line. It does not instruct the agent to read unrelated system configuration, access secrets, or transmit results to external endpoints. Example paths (e.g., /home/xrx/projects) are benign examples, not directives to harvest system data.
Install spec uses dnf packages (fd-find, ripgrep) from the distro package manager, which is a standard low-risk mechanism. Note: the install is platform-specific (dnf) even though the skill has no OS restriction declared; this is a usability limitation rather than a security concern.
The skill declares no environment variables, no credentials, and no config paths. This is proportionate for a local search helper that only needs command-line tools.
always is false and the skill does not request persistent or elevated presence. It does not modify other skills or system-wide agent settings.
Guidance
This skill appears to do exactly what it says: it provides example commands for using fd and ripgrep. Before installing, confirm you are comfortable running sudo dnf install (it requires admin rights) and that your system uses dnf (Fedora/RHEL); on other distros you’ll need the equivalent packages. Be careful when invoking the skill (or running the example commands) against sensitive directories—fd/rg will read files you point them at. If you want the agent to run searches automatically, remember it will execute the fd/rg commands you or the agent request; otherwise the skill is low-risk.
Latest Release
v1.0.0
Initial publish
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Published by @Xejrax on ClawHub
