Skip to content

Commit 0819749

Browse files
committed
add CODEOWNERS, llms.txt for AI discoverability
1 parent 28bc867 commit 0819749

2 files changed

Lines changed: 36 additions & 0 deletions

File tree

CODEOWNERS

Lines changed: 10 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,10 @@
1+
# Default owner for everything
2+
* @mcpware
3+
4+
# Scanner core
5+
intentprobe/ @mcpware
6+
research/ @mcpware
7+
8+
# Probe weights and training data require explicit review
9+
intentprobe/scanner/artifacts/ @mcpware
10+
research/datasets/ @mcpware

llms.txt

Lines changed: 26 additions & 0 deletions
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,26 @@
1+
# IntentProbe
2+
3+
> The only MCP scanner that reads what the model understood, not what the text says.
4+
5+
IntentProbe is a local CLI scanner and runtime hook for AI agent tools, MCP servers, and skills. It runs tool descriptions through a small frozen model (Qwen2.5-0.5B), reads internal activations at layers 13-15, and uses a trained probe to detect poisoned intent that text scanners miss.
6+
7+
## Key facts
8+
9+
- On matched-vocabulary tool poisoning: 96.6% F1 vs Snyk DeBERTa 0% F1
10+
- Adversarial evasion: 0/146 evaded with camouflage suffixes
11+
- Runs 100% locally on CPU, nothing uploaded
12+
- 22 KB probe weights, Apache-2.0 license
13+
- CLI: `intentprobe scan`, `intentprobe scan-path`, `intentprobe runtime`
14+
- Runtime hook for Claude Code PreToolUse
15+
16+
## Install
17+
18+
```
19+
pip install git+https://github.com/mcpware/IntentProbe.git
20+
```
21+
22+
## Links
23+
24+
- Repository: https://github.com/mcpware/IntentProbe
25+
- Research paper: https://doi.org/10.5281/zenodo.19990741
26+
- Competitive landscape: https://github.com/mcpware/IntentProbe/blob/main/docs/COMPETITIVE_LANDSCAPE.md

0 commit comments

Comments
 (0)