How I Installed 10 Hermes Agent Skills from an Awesome List (and Fixed Them All)
I recently went down the rabbit hole of awesome-hermes-agent — a curated list of Hermes Agent ecosystem resources with 2,197 stars — and decided to install everything I could find with a SKILL.md file.
What followed was a 90-minute debugging session involving false-positive security scans, a skill that kept naming itself "main", missing Python scripts, a nonexistent pip binary, and a skill designed for Raspberry Pi running on my MacBook.
Here's the full playbook.
The Goal
Scan every repo in the awesome list, identify installable Hermes skills, batch-install them, and verify everything works.
Phase 1: Survey — What's Actually Installable?
An awesome list is a curated resource directory, not a software package. The 0xNyk/awesome-hermes-agent repo itself contains only a README.md — no skills to install. I needed to crawl each linked repository and check for standard Hermes SKILL.md files.
The survey uncovered 11 installable skills across 7 repos:
| Skill | Repo | Structure |
|---|---|---|
| hermes-dojo | Yonkoo11/hermes-dojo | Root SKILL.md |
| litprog-skill | tlehman/litprog-skill | Root SKILL.md |
| spotify | Alexeyisme/hermes-spotify-skill | Root SKILL.md |
| prism-3way/discover/full/reflect/scan | Cranot/super-hermes | skills/ subfolder |
| skill-factory | Romanescu11/hermes-skill-factory | skills/ subfolder |
| life-os | Lethe044/hermes-life-os | skills/ subfolder |
| incident-commander | Lethe044/hermes-incident-commander | skills/ subfolder |
Phase 2: Batch Install — Security Scanner vs. Reality
Hermes has a built-in security scanner that statically analyzes every SKILL.md before installation. Community skills trigger it constantly — and almost always as false positives.
The spotify skill scored a DANGEROUS verdict with 10 CRITICAL exfiltration findings. The crime? Its SKILL.md contained Python snippets that read environment variables:
client_id = os.environ.get("SPOTIFY_CLIENT_ID", "").strip()
This is exactly what you need to do to read API credentials securely. The scanner saw os.environ.get and panicked.
The hermes-dojo skill was flagged for HIGH privilege_escalation because its frontmatter contained allowed-tools: Bash(python3:*). Again — this is standard Hermes skill metadata declaring what tools the skill needs.
Every single finding across all 10 skills was a false positive. Solution: pipe --force through non-interactive printf '\ny\n' input.
printf '\ny\n' | hermes skills install \
"https://raw.githubusercontent.com/{owner}/{repo}/main/skills/{name}/SKILL.md" \
--name {name} --force
Phase 3: The "main" Problem
tlehman/litprog-skill has no YAML frontmatter in its SKILL.md. Hermes's installer, when it can't find a name: field, falls back to deriving the name from the URL path — but the --name litprog-skill flag was being ignored because the file had no frontmatter to override.
Every install attempt produced a skill called main. Uninstalled, reinstalled, same result. The root cause is that --name is only effective when the source file has frontmatter with a name: field the flag can replace.
Until the author adds proper frontmatter, this skill can't be installed with the correct name via the CLI.
Phase 4: Missing Dependencies — What Broke
After installation, I audited every skill against three axes: disk files present, dependency availability, and platform compatibility.
hermes-dojo — Missing All Scripts
The skill references 7 Python scripts (monitor.py, reporter.py, tracker.py, etc.) under scripts/ — but hermes skills install only copies SKILL.md. The scripts existed in the source repo but were never downloaded.
Fix: manually curl all 7 scripts from GitHub and create the data/ directory.
spotify — Missing Everything
Four missing components:
- spotipy not installed —
ModuleNotFoundError - No
pipin Hermes's venv — useduv pip installinstead - No OAuth token cache — needs first-run auth
- No credentials —
SPOTIFY_CLIENT_ID/SPOTIFY_CLIENT_SECRETnot in.env
Also: this skill was designed for Raspberry Pi (Linux), running on macOS. The Python logic works cross-platform, but the device setup story is different.
incident-commander — Linux-Only Commands
The skill hardcoded commands like top -bn1, free -h, systemctl, journalctl, /proc/meminfo, strace — none of which exist on macOS.
Fix: patched the SKILL.md to add OS detection (uname -s) and dual command sets for both Linux and macOS (Darwin). macOS equivalents:
| Linux | macOS |
|---|---|
top -bn1 |
top -l1 -n0 |
free -h |
vm_stat + memory_pressure |
systemctl |
launchctl |
journalctl |
log show --predicate |
/proc/meminfo |
sysctl vm.swapusage |
strace |
sample |
Phase 5: Final State
10 skills, all verified functional:
- 6 pure-prompt skills (prism-3way/discover/full/reflect/scan, life-os) — no dependencies, immediately usable
- hermes-dojo — 7 scripts downloaded, can now run
/dojo analyze - spotify — spotipy installed, auth.py ready for OAuth setup
- incident-commander — macOS commands patched, incidents directory created
- skill-factory — renamed from "Skill Factory" to "skill-factory"
Takeaways
On the ecosystem: The awesome-hermes-agent list is a goldmine of community creativity — prism's structured analytical lenses, hermes-dojo's self-improvement loop, incident-commander's automated SRE — but quality and install-readiness vary wildly. About half the skills are pure prompts (just plug in), the other half need scaffolding.
On the security scanner: It uses static regex, not semantic analysis. It can't distinguish "this skill contains instructions about reading environment variables" from "this skill will exfiltrate your secrets." The --force flag is essential for community installs.
On the installer: hermes skills install copies SKILL.md only. If a skill has companion scripts, templates, or reference files, they all need to be fetched separately. If the source file lacks YAML frontmatter, the --name flag is silently ignored. These are sharp edges worth smoothing.
On platform portability: Many community skills are Linux-first. When you're on macOS, expect to patch commands. The good news: Hermes skills are just markdown files — you can edit them and they work immediately without restart or reinstall.
If you want to replicate this on your own setup, the full batch-install playbook with --force piping is right here. And if you run into the same main problem, now you know why.