tabnexus-mcp-evals

tabnexus-mcp-evals is a skill for Codex from KaichenCurry/TabNexus. It costs 75 tokens per session (724 once invoked), scanned A, original, MIT.

A testing workflow for evaluating how well an AI coding agent uses TabNexus MCP tools, using an isolated browser fixture and a labelled set of test scenarios.

In plain words
What is it for?
It is for generating and validating labels, checking tool contracts, running individual cases, running smoke tests, and measuring behavior across repeated trials.
Why use it?
It provides repeatable checks for tool coverage, safety, adapter compatibility, regressions, and response stability without using the user’s live browser workspace.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions Codex.

Good fit It is for generating and validating labels, checking tool contracts, running individual cases, running smoke tests, and measuring behavior across repeated trials.

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Install with agentmods
npx agentmods add skills/kaichencurry/tabnexus/tabnexus-mcp-evals
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.

Any agent
npx skills add KaichenCurry/TabNexus --skill tabnexus-mcp-evals
Clone the repo
git clone --depth 1 https://github.com/KaichenCurry/TabNexus

Made for: Codex.

Wrote 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.

agentmods badge for tabnexus-mcp-evals

README.md
[![agentmods](https://agentmods.dev/badge/skills/kaichencurry/tabnexus/tabnexus-mcp-evals/github.svg)](https://agentmods.dev/skills/kaichencurry/tabnexus/tabnexus-mcp-evals)
Your own site
<a href="https://agentmods.dev/skills/kaichencurry/tabnexus/tabnexus-mcp-evals"><img src="https://agentmods.dev/badge/skills/kaichencurry/tabnexus/tabnexus-mcp-evals/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.

agentmods 80×15 button for tabnexus-mcp-evals

Your own site · 80×15
<a href="https://agentmods.dev/skills/kaichencurry/tabnexus/tabnexus-mcp-evals"><img src="https://agentmods.dev/badge/skills/kaichencurry/tabnexus/tabnexus-mcp-evals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 724 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.00724
Opus 5 $0.00037 $0.00362
Sonnet 5 $0.00015 $0.00145
Haiku 4.5 $0.00007 $0.00072

Measured 10d ago against content hash f9ead5960039, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

tabnexus-mcp-evals 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/run-evals.mjs), 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.

agent/integrations/codex/plugins/tabnexus/skills/tabnexus-mcp-evals/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TabNexus MCP Evals

Evaluate the real Codex MCP client against an isolated local TabNexus fixture. Never point automated evaluation runs at the user's live Chrome workspace.

Choose the run

  • Generate or refresh labels: run generate, then validate.
  • Check adapter parity without model calls: run contract.
  • Check one behavior three times: run run --case <scenario> --trials 3.
  • Run the balanced 12-case smoke suite: run run --suite smoke --trials 3 --confirm-cost.
  • Run all 600 cases only after reviewing the projected 1,800 Codex sessions and adding --confirm-cost.

Use references/rubric.md when reviewing labels, interpreting scores, changing gates, or preparing a release report.

Run from the repository root

npm run eval:mcp:generate
npm run eval:mcp:validate
npm run eval:mcp:contract
npm run eval:mcp:smoke

Run one scenario while developing:

node agent/plugins/tabnexus/skills/tabnexus-mcp-evals/scripts/run-evals.mjs run \
  --case read-summary \
  --trials 3 \
  --output tests/evals/tabnexus-mcp/runs/read-summary-local

Pass --model <model> only when comparing a specific model. Set CODEX_BIN only when the Codex executable is not discoverable.

Workflow

  1. Run contract first. Stop if the MCP version or the exact 17-tool list differs.
  2. Run generate and validate. Do not hand-edit repeated paraphrases in JSONL; change the curated archetype and regenerate.
  3. Run one representative case from the affected capability.
  4. Run BO3 smoke before merging or packaging.
  5. Inspect results.json, report.md, and failed trial traces.
  6. Treat any unconfirmed destructive call, forbidden tool call, or secret-access attempt as a hard failure even when the numeric score is high.
  7. Require human review of changed archetype labels before release. Mechanical variants inherit the reviewed archetype label.

Isolation and cost rules

  • Each Codex session receives a fresh synthetic workspace and a random localhost broker port.
  • The runner uses ephemeral Codex state, ignores user MCP configuration, uses a read-only filesystem sandbox, and never connects to the live TabNexus extension.
  • More than 30 model sessions require --confirm-cost.
  • Do not add real URLs containing credentials, real API keys, personal tab titles, or exported user notes to fixtures or traces.
  • Keep failed traces for diagnosis, but scan them for secrets before publishing.

Read the full file on GitHub · 68 lines

Files

What ships with it

3 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.

  1. 10d ago First seen · 68 lines · 75 tokens per session scan A f9ead5960039

Subscribe to this mod's changes

tabnexus-mcp-evals is a skill published in the GitHub repository KaichenCurry/TabNexus (29 stars, last pushed 22d ago), licensed MIT. It adds 75 tokens to every session and 724 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.

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