DEDUPED Hot AI repos, turned into use cases Get 5 a day

How to install the distilled Hermes skills from the WikiSkill tap with Wikiskill

Add the WikiSkill skills tap to Hermes and install the patterns from live runs.

Who it is forA Hermes Agent user who wants proven fixes, such as the ripgrep binary-skip pitfall, without running an evolution loop first.

The problemHermes agents hit the same sandbox and search pitfalls again and again, and writing fixes from scratch takes time.

The outcomeHermes has the selected WikiSkill skills installed and ready to use in your agent sessions.

What you need first

  • Python 3.10 or newer
  • Hermes Agent installed as the reference backend, or another supported agent CLI (Claude Code, Codex or GitHub Copilot CLI)
  • A configured default model for the agent, for example through OpenRouter using --model and --provider
  • Enough API budget for several iterations (the README cites about $0.09 per iteration on one free-tier run)

Steps

  1. Run hermes skills tap add ashutoshsinghpr7/wikiskill to register the tap.
  2. Run hermes skills install ashutoshsinghpr7/wikiskill/skills/search-miss-binary to install the search pattern.
  3. Run hermes skills install ashutoshsinghpr7/wikiskill/skills/script-exec-blocked to install the sandbox policy pattern. (inferred, check the README)
  4. Repeat the install command for each other skill you want from the table in the README.
  5. Start a Hermes session and confirm the installed skills appear in the skill list.

Prompt for your agent

Using the ashutoshsinghpr7/wikiskill repo as a Hermes skills tap, add the tap and install the skills search-miss-binary and script-exec-blocked. Report which skills were installed. Verify that each skill name appears in the Hermes skill list after the install.

Caveat. The README lists these skills as patterns from its own demo runs, so they may not match the failures in your environment.

Share: X LinkedIn Hacker News Email Copy link

Disclaimer

Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page