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 woohyun212/security-skill --skill ioc-extractgit clone --depth 1 https://github.com/woohyun212/security-skillWrote 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/woohyun212/security-skill/ioc-extract)<a href="https://agentmods.dev/skills/woohyun212/security-skill/ioc-extract"><img src="https://agentmods.dev/badge/skills/woohyun212/security-skill/ioc-extract/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/woohyun212/security-skill/ioc-extract"><img src="https://agentmods.dev/badge/skills/woohyun212/security-skill/ioc-extract.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 | $0.00019 | $0.01834 |
| Opus 5 | $0.00010 | $0.00917 |
| Sonnet 5 | $0.00004 | $0.00367 |
| Haiku 4.5 | $0.00002 | $0.00183 |
Grade B, and why
ioc-extract scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
| URL fetch failure | curl not installed or network blocked | `sudo apt install curl` or paste manually | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
TEXT=$(curl -sL "$INPUT_FILE") How it starts
The opening of the file, as written. The whole thing — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What this skill does
Automatically extracts Indicators of Compromise (IOCs) from text, log files, or URLs. Identifies IP addresses, domains, URLs, email addresses, and file hashes (MD5/SHA1/SHA256), then outputs a structured, defanged IOC list for safe sharing.
When to use
- Identifying malicious infrastructure during incident response
- Extracting IOCs from threat intelligence reports or emails
- Collecting attacker indicators by analyzing log files
- Preparing an IOC list for ingestion into a SIEM or TIP
Prerequisites
- Python 3.6 or higher
- (optional) ioc-finder library:
pip install ioc-finder - Input source: pasted text, local file path, or URL
Inputs
| Item | Description | Example |
|---|---|---|
INPUT_SOURCE |
Direct text, file path, or URL | /var/log/apache2/access.log |
OUTPUT_FORMAT |
Output format (text/json/csv) | json |
Workflow
Step 1: Confirm input source and collect text
# Read text from a file
INPUT_FILE="/path/to/log.txt"
if [ -f "$INPUT_FILE" ]; then
TEXT=$(cat "$INPUT_FILE")
elif echo "$INPUT_FILE" | grep -qE '^https?://'; then
TEXT=$(curl -sL "$INPUT_FILE")
else
echo "Paste text and press Ctrl+D when done:"
TEXT=$(cat)
fi
echo "$TEXT" > /tmp/ioc_input.txt
echo "[+] Input collected: $(wc -c < /tmp/ioc_input.txt) bytes"
Step 2: Extract IOCs with ioc-finder (recommended)
# Check for ioc-finder installation and use it
if python3 -c "import ioc_finder" 2>/dev/null; then
python3 - <<'PYEOF'
from ioc_finder import find_iocs
import json, sys
with open('/tmp/ioc_input.txt', 'r', errors='replace') as f:
text = f.read()
iocs = find_iocs(text)
# Filter and clean results
result = {
'ipv4': list(iocs.get('ipv4s', [])),
'ipv6': list(iocs.get('ipv6s', [])),
'domains': list(iocs.get('domains', [])),
'urls': list(iocs.get('urls', [])),
'emails': list(iocs.get('email_addresses', [])),
'md5': list(iocs.get('md5s', [])),
'sha1': list(iocs.get('sha1s', [])),
'sha256': list(iocs.get('sha256s', [])),
}
total = sum(len(v) for v in result.values())
print(f"[+] Total {total} IOCs extracted")
with open('/tmp/ioc_raw.json', 'w') as f:
json.dump(result, f, indent=2)
PYEOF
else
echo "[!] ioc-finder not installed. Run pip install ioc-finder and retry."
echo "[*] Falling back to regex-based extraction."
fi
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.
- 8d ago First seen · 207 lines · 19 tokens per session scan B bf3e5a3eedf9
ioc-extract is a skill published in the GitHub repository woohyun212/security-skill (21 stars, last pushed 4mo ago), licensed MIT. It adds 19 tokens to every session and 1,834 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…