T1/T2 Protocol
PYPI · T1-T2-PROTOCOL · SCANNED AUG 4
Caller-side T1/T2 heterogeneous validation MCP server. Stdlib-only Python.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- No production dependencies, so there is no dependency health to assess. View diagnostics → Pass
Provenance & Transparency32
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 48 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability49
- AI-judged instruction clarity (fair).Partial
- Tool/resource definitions use about 326 tokens (~108/item across 3 items; 3 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management0
- Stability not yet verified: not enough scan history yet (needs a 30-day window).Unverified
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Capabilities40
- Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28. See how to fix → Fail
Unverified: 1 category
A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
pypi · t1-t2-protocol
claude mcp add fauxetine-t1-t2-protocol -- uvx t1-t2-protocol
codex mcp add fauxetine-t1-t2-protocol -- uvx t1-t2-protocol
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"fauxetine-t1-t2-protocol": {
"type": "local",
"command": [
"uvx",
"t1-t2-protocol"
],
"enabled": true
}
}
} openclaw mcp add fauxetine-t1-t2-protocol --command uvx --arg t1-t2-protocol
mcp_servers:
fauxetine-t1-t2-protocol:
command: "uvx"
args: ["t1-t2-protocol"] {
"mcpServers": {
"fauxetine-t1-t2-protocol": {
"command": "uvx",
"args": [
"t1-t2-protocol"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Aug 26 +22
- Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window). security
- MCP protocol: unverified → fail ▼ functional
- Tool coverage: unverified → 100 ▲ functional
- First check of Tool coverage: 100 functional
- First check of Schema quality: fail functional
- First check of Schema quality: fair functional
- First check of Schema quality: pass functional
- 1 Aug 26 −5
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 31 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 28 Jul 26 0
- Schema quality: Schema quality not yet verified: our sandbox run of this package did not complete, so we have no schema to assess. functional
- Tool coverage: Tool coverage not yet verified: our sandbox run of this package did not complete, so we have no tool definitions to assess. functional
- 26 Jul 26 44
First indexed and scored.
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 4 Aug 2026 · Analysed pypi/[email protected]
Provenance none
Ecosystem: pypi · Outcome: none
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | setuptools.build_meta |
Dependencies 0 packages
0 packages in the resolved dependency tree.
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.
checksum ~73
Deterministic structural pre-validation (semantic ECC Pre-T2 Checksum) Input: AI answer text Output: structural integrity assessment (pass/fail) + diagnostics Zero LLM dependency - pure regex/string ops. Run before T2 to filter corrupted output.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | The AI answer text to validate |
No output schema declared.
No examples provided.
t1_protocol ~148
Translates ambiguous questions into T1 structured prompts. Output: L1 facts / L2 assumptions / L3 hypotheses / L4 unknowns / core question / output requirements. v2.5+: L3 evidence status, core link exemption.
| Name | Type | Req | Description |
|---|---|---|---|
| locale | string | — | Output language: 'en' (default) or 'zh' |
| question | string | yes | The original question to translate |
| weight_hint | string | — | Optional evaluation weight hint. English: fact-first, efficiency-first, cost-first, robustness-first, general-first. Chinese: 事实优先, 效率优先, 成本优先, 鲁棒性优先, 通用优先. |
No output schema declared.
No examples provided.
t2_protocol ~105
Confidence evaluation for AI answers. Output: qualitative confidence (high/medium-high/medium/medium-low/low) + adoption recommendations. Run checksum before T2 when format integrity matters.
| Name | Type | Req | Description |
|---|---|---|---|
| answer | string | yes | The AI answer to evaluate |
| locale | string | — | Output language: 'en' (default) or 'zh' |
| weight_hint | string | — | Optional evaluation weight hint (default: factual accuracy > efficiency). Same values as t1_protocol weight_hint. |
No output schema declared.
No examples provided.