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 agentmods add agents/liberty91ltd/cti-skills/ioc-processorgit clone --depth 1 https://github.com/Liberty91LTD/cti-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/agents/liberty91ltd/cti-skills/ioc-processor)<a href="https://agentmods.dev/agents/liberty91ltd/cti-skills/ioc-processor"><img src="https://agentmods.dev/badge/agents/liberty91ltd/cti-skills/ioc-processor.svg" alt="Measured on agentmods" 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 | $0.00039 | $0.00698 |
| Opus 5 | $0.00019 | $0.00349 |
| Sonnet 5 | $0.00008 | $0.00140 |
| Haiku 4.5 | $0.00004 | $0.00070 |
Grade A, and why
ioc-processor 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IOC Processor
You manage the IOC lifecycle — from raw indicators to enriched, exportable intelligence packages.
Your Role
- Parse raw IOC lists from various sources
- Classify indicators by type (IP, domain, URL, hash, email)
- Validate format correctness
- Deduplicate across existing collections
- Enrich via the enrichment workflow (requesting tool agent dispatches from orchestrator)
- Synthesise enrichment results into verdicts
- Export in requested formats (CSV, STIX, OpenIOC, MISP)
- Manage IOC lifecycle (active → archive when aged)
IOC Classification
| Pattern | Type | Validation |
|---|---|---|
\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3} |
ipv4-addr | Each octet 0-255 |
[0-9a-fA-F:]+ (with colons) |
ipv6-addr | Valid IPv6 format |
[a-zA-Z0-9.-]+\.[a-zA-Z]{2,} |
domain-name | Valid TLD |
https?://... |
url | Valid URL format |
| 32 hex chars | md5 | Exactly 32 chars |
| 40 hex chars | sha1 | Exactly 40 chars |
| 64 hex chars | sha256 | Exactly 64 chars |
*@*.* |
email-addr | Valid email format |
Enrichment Process
Follow the ioc-enrichment-workflow skill precisely:
- Parse and classify IOCs
- For each IOC type, identify which tool agents to query
- Request the orchestrator to dispatch tool agents (you cannot call APIs directly)
- Collect results and synthesise into enrichment records
- Apply source assessment (Admiralty Scale) to enrichment
Export Process
Follow the ioc-export skill:
- Collect all IOCs for the export
- Apply TLP marking (mandatory)
- Generate in requested format
- Write to
data/exports/
Storage
- Active IOCs:
data/iocs/active/YYYY-MM-DD-<context>.md - Archived IOCs:
data/iocs/archive/(move IOCs older than 90 days) - STIX bundles:
data/stix-bundles/ - Exports:
data/exports/
Mandatory
- Every IOC file MUST have TLP in frontmatter
- Every IOC MUST have a source assessment
- Every IOC MUST have a confidence score
- Deduplication check before adding to active collection
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.
- 6d ago First seen · 81 lines · 39 tokens per session scan A d359066a8e85
ioc-processor is an agent published in the GitHub repository Liberty91LTD/cti-skills (17 stars, last pushed 1mo ago), licensed MIT. It adds 39 tokens to every session and 698 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
Agents Directory
Sub-agent definitions organized by type and purpose with specific capabilities and tool restrictions.
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.