Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vivy-yi/awesome-skills --skill star-updatergit clone --depth 1 https://github.com/vivy-yi/awesome-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vivy-yi/awesome-skills/star-updater)<a href="https://agentmods.dev/skills/vivy-yi/awesome-skills/star-updater"><img src="https://agentmods.dev/badge/skills/vivy-yi/awesome-skills/star-updater/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vivy-yi/awesome-skills/star-updater"><img src="https://agentmods.dev/badge/skills/vivy-yi/awesome-skills/star-updater.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00113 | $0.01028 |
| Opus 5 | $0.00056 | $0.00514 |
| Sonnet 5 | $0.00023 | $0.00206 |
| Haiku 4.5 | $0.00011 | $0.00103 |
Grade A, and why
star-updater scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run( How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Star Updater
Updates star counts for all repositories in skills.json using GitHub API with proper batching and rate limit handling.
Workflow
1. Read current skills.json
cd /Volumes/waku/github-维护/awesome/awesome-skills-repos
wc -l skills.json
jq length skills.json
2. Run the update script
cd /Volumes/waku/github-维护/awesome/awesome-skills-repos
python3 << 'PYEOF'
import json
import subprocess
import time
from datetime import datetime
REPO_PATH = "/Volumes/waku/github-维护/awesome/awesome-skills-repos/skills.json"
OUTPUT_PATH = REPO_PATH
with open(REPO_PATH, 'r') as f:
repos = json.load(f)
print(f"Total repos to check: {len(repos)}")
updated = 0
errors = 0
rate_limited = False
for i, repo in enumerate(repos):
name = repo.get('name', '')
if not name:
continue
# Progress indicator
if i % 50 == 0:
print(f"Progress: {i}/{len(repos)}...")
try:
result = subprocess.run(
['gh', 'api', f'/repos/{name}'],
capture_output=True, text=True, timeout=10
)
if result.returncode == 0:
data = json.loads(result.stdout)
new_stars = data.get('stargazers_count', repo.get('stars', 0))
old_stars = repo.get('stars', 0)
if new_stars != old_stars:
print(f" {name}: {old_stars} -> {new_stars}")
repo['stars'] = new_stars
repo['last_updated'] = datetime.now().strftime('%Y-%m-%d')
updated += 1
elif 'rate limit' in result.stderr.lower() or result.returncode == 403:
rate_limited = True
print(f" Rate limited at {i}/{len(repos)}, waiting 60s...")
time.sleep(60)
else:
errors += 1
except Exception as e:
errors += 1
if errors <= 5:
print(f" Error {name}: {e}")
# Be nice to GitHub API - 3 req/sec max
time.sleep(0.3)
# Save updated data
with open(OUTPUT_PATH, 'w') as f:
json.dump(repos, f, f, indent=2, ensure_ascii=False)
print(f"\n=== Update Complete ===")
print(f"Total repos: {len(repos)}")
print(f"Updated: {updated}")
print(f"Errors: {errors}")
# Generate update summary for commit message
with open('/tmp/star_update_summary.txt', 'w') as f:
f.write(f"Updated: {updated}, Errors: {errors}, Total: {len(repos)}\n")
PYEOF
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 134 lines · 0 tokens per session scan A 38406076df51
star-updater is a skill published in the GitHub repository vivy-yi/awesome-skills (1 stars, last pushed 3mo ago), licensed MIT. It adds 113 tokens to every session and 1,028 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
prowler-commit
Creates professional git commits following conventional-commits format. Trigger: When creating commits, after completing code changes, when user asks to commit.
gh-auth-isolation
Safely manage multiple GitHub identities (EMU + personal) in agent workflows.
comet-github
A routing guide for Comet-related GitHub work. It directs requests about pull requests, issues, CI failures, ideas, and fixes to the appropriate review or implementation process.
github-skill
Work with GitHub via the gh CLI — clone repositories, create/list/merge pull requests, create/list issues, and run any other gh command (API calls, workflow runs, releases, repo administration). List operations return parsed JSON.
changelog-composer
Generates structured changelogs and release notes from git history and PRs, classifying breaking changes, features, fixes, performance, docs. Triggers on: "generate changelog", "write release notes", "what changed since", "prepare release", "release notes for", "diff since tag".
re0-merge
Review and land an external contribution the way this suite does: gate it against the thesis, land it with the author's credit intact, complete a new skill rather than merging it raw, then approve, credit, and explain before closing. Use when reviewing a pull request, as any collaborator or maintainer, not only the…