Borrowing it
Nothing to install: this file belongs to xcota/pos. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/xcota/pos/main/.claude/skills/pos-audit/SKILL.mdgit clone --depth 1 https://github.com/xcota/posWrote 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/xcota/pos/pos-audit)<a href="https://agentmods.dev/skills/xcota/pos/pos-audit"><img src="https://agentmods.dev/badge/skills/xcota/pos/pos-audit.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Agent Snooping · line 76 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
- high Agent Snooping · line 109 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
- high Agent Snooping · line 112 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
- high Agent Snooping · line 112 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
- medium Agent Snooping · line 76 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Excessive Agency · line 179 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00016 | $0.01666 |
| Opus 5 | $0.00008 | $0.00833 |
| Sonnet 5 | $0.00003 | $0.00333 |
| Haiku 4.5 | $0.00002 | $0.00167 |
Grade A, and why
pos-audit scanned grade A with 2 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 7d 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.
Reads agent configuration directorieslowAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
cat ~/.claude/settings.json 2>/dev/null | python3 -c " Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
Enumerates other installed skillslowAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
find .claude/skills -name "SKILL.md" 2>/dev/null | wc -l Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.
POS Audit — System Health Check
Scans all Personal OS layers, scores health, surfaces gaps.
Invoke: /pos-audit
Step 1: Context Layer
wc -l CLAUDE.md 2>/dev/null
grep "^## " CLAUDE.md 2>/dev/null
Check: exists? >50 lines? Has sections: Identity/Rules, Context, Orchestration, Hard rules, Naming?
Score: 0 (missing) / 1 (exists but thin) / 2 (full, with sections)
Step 2: Knowledge Graph
find knowledge/ -name "*.md" -not -name "AGENTS.md" | wc -l
grep -rl "\[\[" knowledge/ | wc -l
Check: entity count, wikilink coverage (% of files with links), type distribution.
for d in knowledge/*/; do echo "$(basename "$d"): $(find "$d" -name '*.md' -not -name 'AGENTS.md' | wc -l)"; done
Score: 0 (<10 entities) / 1 (10-100) / 2 (100+ with >50% linked AND <5 floating nodes)
Graph health check (mandatory):
# Count floating nodes (0 incoming links)
python3 -c "
import os, re
kg=os.path.join(os.getcwd(), 'knowledge')
incoming={}
entities=set()
for root,dirs,files in os.walk(kg):
for f in files:
if f.endswith('.md') and f not in ('AGENTS.md','INDEX.md'):
name=f.replace('.md','')
entities.add(name)
with open(os.path.join(root,f)) as fh:
for link in re.findall(r'\[\[([^\]]+)\]\]',fh.read()):
incoming.setdefault(link,set()).add(name)
floating=[n for n in entities if n not in incoming]
print(f'Floating nodes: {len(floating)}/{len(entities)}')
for n in sorted(floating)[:10]: print(f' {n}')
"
Also check: wc -c CLAUDE.md — must be < 3500 chars.
Step 3: Projects
ls -d projects/*/AGENTS.md 2>/dev/null | wc -l
ls -d projects/*/context.md 2>/dev/null | wc -l
Score: 0 (no projects) / 1 (some without AGENTS.md) / 2 (all have AGENTS.md + context.md).
Fresh vault: if top-level projects/ doesn't exist yet, score N/A — render PROJECTS N/A (fresh vault), keep it out of GAPS, and drop it from the denominator (score /14 not /16). A blank vault is healthy-by-design here.
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.
- 7d ago First seen · 184 lines · 16 tokens per session scan A f883aec87d61
pos-audit is a skill published in the GitHub repository xcota/pos (43 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 1,666 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 2 findings (reads agent configuration directories, enumerates other installed skills). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
second-brain-climb
A guide for maintaining a long-term personal direction as a structured, evidence-based plan. It describes the desired destination, current position, gaps, possible routes, limits, evidence, and next actions.
ori-memory
Persistent agent memory with learning retrieval. Knowledge graph on markdown files — capture insights, decisions, research, and learnings during work, then retrieve them weeks or months later. Use when knowledge is too valuable to lose but too much to inject into every prompt.
day-log
Quick timestamped log entry — no conversation, just capture.
period-summary
Period summary (w/m/q/y) — reflect on the period, score it, close it out.
day-start
Day briefing — deliver context, capture what's happened, get moving.
vault-audit
Vault health check. Validates structure, detects stale reasoning artifacts by priority level, processes inbox, and suggests cleanup. Triggers: "vault audit", "check vault", "clean up vault", "process inbox", "what's stale", "vault health".