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 xuansenpa1/skillrevise --skill yaml-configgit clone --depth 1 https://github.com/xuansenpa1/skillreviseWrote 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/xuansenpa1/skillrevise/yaml-config)<a href="https://agentmods.dev/skills/xuansenpa1/skillrevise/yaml-config"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/yaml-config/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/xuansenpa1/skillrevise/yaml-config"><img src="https://agentmods.dev/badge/skills/xuansenpa1/skillrevise/yaml-config.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 | $0.00028 | $0.00380 |
| Opus 5 | $0.00014 | $0.00190 |
| Sonnet 5 | $0.00006 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
yaml-config scanned grade A with 0 findings 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 11d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to yaml-config — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
YAML Configuration Files
Reading YAML
Always use safe_load to prevent code execution vulnerabilities:
import yaml
with open('config.yaml', 'r') as f:
config = yaml.safe_load(f)
# Access nested values
value = config['section']['key']
Writing YAML
import yaml
data = {
'settings': {
'param1': 1.5,
'param2': 0.1
}
}
with open('output.yaml', 'w') as f:
yaml.dump(data, f, default_flow_style=False, sort_keys=False)
Options
default_flow_style=False: Use block style (readable)sort_keys=False: Preserve insertion orderallow_unicode=True: Support unicode characters
Error Handling
import yaml
try:
with open('config.yaml', 'r') as f:
config = yaml.safe_load(f)
except FileNotFoundError:
config = {} # Use defaults
except yaml.YAMLError as e:
print(f"YAML parse error: {e}")
config = {}
Optional Config Loading
import os
import yaml
def load_config(filepath, defaults=None):
"""Load config file, return defaults if missing."""
if defaults is None:
defaults = {}
if not os.path.exists(filepath):
return defaults
with open(filepath, 'r') as f:
loaded = yaml.safe_load(f) or {}
# Merge loaded values over defaults
result = defaults.copy()
result.update(loaded)
return result
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.
- 11d ago First seen · 81 lines · 28 tokens per session scan A 6a53aad718ab
yaml-config is a skill published in the GitHub repository xuansenpa1/skillrevise (56 stars, last pushed 5d ago), licensed MIT. It adds 28 tokens to every session and 380 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to yaml-config, differing in 0 lines, and is treated as a copy.
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