What is com-interface-analysis?

A Windows security analysis tool for COM servers and their interfaces. COM is a Windows system that lets programs expose functions to other programs, and the tool uses extracted data about those servers, permissions, and privileges.

It is for reviewing COM attack surfaces, looking up CLSIDs, examining interface methods and permissions, finding possible privilege-escalation or UAC-bypass paths, and viewing pseudo-IDL definitions.

It helps identify which COM components can be reached, elevated, or misconfigured across different caller and server privilege levels.

com-interface-analysis — Skill by marcosd4h

Install

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.

agentmods

npx agentmods add skills/marcosd4h/deepextractruntime/com-interface-analysis

Any agent

npx skills add marcosd4h/DeepExtractRuntime --skill com-interface-analysis

Clone the repo

git clone --depth 1 https://github.com/marcosd4h/DeepExtractRuntime

Made for: Claude Code, Codex.

Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,983 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00081	$0.01983
Opus 5	$0.00041	$0.00992
Sonnet 5	$0.00016	$0.00397
Haiku 4.5	$0.00008	$0.00198

Measured 2d ago against content hash bfaed1d00912, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

com-interface-analysis 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 2d ago.

The scan reads SKILL.md. This mod also ships 7 executable files (scripts/_common.py, scripts/audit_com_security.py, scripts/classify_com_entrypoints.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/com-interface-analysis/SKILL.md · 197 lines

How it starts

The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.

COM Interface Analysis

Purpose

Query and analyze COM (Component Object Model) server registrations extracted from Windows system binaries. Uses pre-built extraction data that maps every binary to its COM CLSIDs, interface methods, pseudo-IDL definitions, SDDL permissions, service identities, elevation flags, and activation types. The unique value is privilege-boundary risk scoring and elevation/UAC analysis across four access contexts defined by caller integrity level and server process privilege.

When to Use

Enumerate COM servers and interfaces in a module
Look up a CLSID to find its hosting binary and security properties
Map the COM attack surface ranked by privilege-boundary risk
Find privilege escalation targets (medium-IL caller to SYSTEM server)
Identify UAC bypass candidates (CanElevate/AutoElevation servers)
Classify COM entry points by semantic category
Audit COM server security (permissions, elevation, marshalling, DCOM)
Confirm decompiled functions are COM entry points
View pseudo-IDL interface definitions

When NOT to Use

General function explanation -- use re-analyst
COM interface reconstruction from vtable patterns in decompiled code -- use com-interface-reconstruction
WinRT server analysis -- use winrt-interface-analysis
RPC interface analysis -- use rpc-interface-analysis
Non-COM attack surface mapping -- use map-attack-surface

Data Sources

COM index (helpers/com_index.py): Singleton loaded from config/assets/com_data/ across four access contexts.
Access contexts (caller IL x server privilege):
- extracted_high_il/all_servers -- high-IL caller, elevated + regular processes
- extracted_high_il/privileged_servers -- high-IL caller, privileged processes (SYSTEM/high)
- extracted_medium_il/medium_il/all_servers -- medium-IL caller, elevated + regular processes
- extracted_medium_il/medium_il/privileged_servers -- medium-IL caller, privileged processes (SYSTEM/high)
Per-context file: com_servers.json (binary-keyed; contains server metadata, interfaces, methods, pseudo-IDL, typelib interfaces, and procedure lists per binary).

Read the full file on GitHub · 197 lines

Files

What ships with it

8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

2d ago First seen · 197 lines · 81 tokens per session scan A bfaed1d00912

Subscribe to this mod's changes

com-interface-analysis is a skill published in the GitHub repository marcosd4h/DeepExtractRuntime (20 stars, last pushed 3mo ago), licensed MIT. It adds 81 tokens to every session and 1,983 once invoked, about $0.0004 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.

Security

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

agent-host-chat-contributions

Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.

microsoft/vscode · 56 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens