tube-bridge-research

tube-bridge-research is a skill for Claude Code, Codex from TheWhiteWater/tube-bridge. It costs 76 tokens per session (1,796 once invoked), scanned A, original, MIT.

Um sistema de pesquisa para investigar vídeos do YouTube usando legendas, fontes, hipóteses e evidências com marcação de tempo.

In plain words
What is it for?
Fazer consultas rápidas, estudos focados, comparações entre vídeos e pesquisas contínuas com corpus local e histórico das alterações.
Why use it?
Evita misturar observações, fatos, afirmações das fontes e conclusões próprias. Mantém o caminho entre cada conclusão e o trecho do vídeo que a sustenta.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Fazer consultas rápidas, estudos focados, comparações entre vídeos e pesquisas contínuas com corpus local e histórico das alterações.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/thewhitewater/tube-bridge/tube-bridge-research
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 TheWhiteWater/tube-bridge --skill tube-bridge-research
Clone the repo
git clone --depth 1 https://github.com/TheWhiteWater/tube-bridge

Made for: Claude Code, 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 tube-bridge-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/thewhitewater/tube-bridge/tube-bridge-research/github.svg)](https://agentmods.dev/skills/thewhitewater/tube-bridge/tube-bridge-research)
Your own site
<a href="https://agentmods.dev/skills/thewhitewater/tube-bridge/tube-bridge-research"><img src="https://agentmods.dev/badge/skills/thewhitewater/tube-bridge/tube-bridge-research/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 tube-bridge-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/thewhitewater/tube-bridge/tube-bridge-research"><img src="https://agentmods.dev/badge/skills/thewhitewater/tube-bridge/tube-bridge-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,796 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.
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 $0.00076 $0.01796
Opus 5 $0.00038 $0.00898
Sonnet 5 $0.00015 $0.00359
Haiku 4.5 $0.00008 $0.00180

Measured 12d ago against content hash 14080c67c3c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tube-bridge-research 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 12d 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.

skills/tube-bridge-research/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tube Bridge Research

This is the single entry point for the MCP, research method, corpus doctrine, examples, and reusable templates. Treat tube-bridge as one research capability rather than a bag of unrelated tools.

Select the research mode

  • Quick lookup: one bounded fact about a source; use explicit language and timestamp provenance without manufacturing hypotheses.
  • Focused study: one source or tightly bounded question; use FRAME-LOCK and claim classification.
  • Comparative investigation: disputed, causal, or multi-source question; require source lineage, competing hypotheses, and adversary review.
  • Living corpus: repeated monitoring; additionally preserve state snapshots, update traces, review intervals, and resolution criteria.

Read references/methodology/00-research-method.md before a focused, comparative, or living investigation.

Non-negotiable rules

  • Keep OBSERVATION, FACT, SOURCE-CLAIM, INFERENCE, and UNKNOWN distinct.
  • Freeze a timestamped frame_id before evidence retrieval. Changed questions, standards, applicability, or materiality create a new prospective run; they never rewrite the old verdict.
  • Treat a timestamped transcript as tool-observed evidence of what the selected subtitle track renders. Generated, translated, or dubbed text is not automatic proof of exact speech, speaker endorsement, or a world claim.
  • Check available subtitle tracks and pass lang explicitly whenever the intended language can be established. With lang=None, v1.1.0 deterministically stays in the first ASR/default language family and never crosses into an unrelated manual dub; explicit selection still gives stronger provenance.
  • Preserve video identity, requested and returned language, track type, timestamp spans, retrieval warnings, and upstream source lineage.
  • Count independent observation paths, not videos. Several videos can repeat one origin.
  • Verify corpus hits against source transcript text. Similarity scores rank candidates; missing hits do not prove absence.
  • For causal or predictive questions, keep competing mechanisms and seek distinguishing evidence.
  • Attack the leading explanation before synthesis. Core frame, provenance, confidence, and stopping checks are mandatory-material. A gate PASS means fit to present, not certainly true.
  • Do not claim that Corpus v2 hierarchy, dual representation, lexical search, or logical relations exist in the released runtime. Current corpus behavior is flat overlapping-window vector retrieval.
  • Do not fabricate unavailable transcripts, speaker identities, frames, provenance, certainty, or narrative glue.

Read the full file on GitHub · 104 lines

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. 12d ago First seen · 104 lines · 76 tokens per session scan A 14080c67c3c1

Subscribe to this mod's changes

tube-bridge-research is a skill published in the GitHub repository TheWhiteWater/tube-bridge (0 stars, last pushed 16d ago), licensed MIT. It adds 76 tokens to every session and 1,796 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 2026-08-31.

Related

Other skills, from other repositories

chroma

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source…

davila7/claude-code-templates · 63 tokens

chroma

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source…

synthetic-sciences/openscience · 63 tokens

chroma

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source…

OpenLAIR/dr-claw · 63 tokens

youtube-content

YouTube Data API — search, video details, channel info, transcripts.

furkangonel/cowrangler · 18 tokens

chroma

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source…

Microck/ordinary-claude-skills · 63 tokens

chroma

Open-source embedding database for AI applications. Store embeddings and metadata, perform vector and full-text search, filter by metadata. Simple 4-function API. Scales from notebooks to production clusters. Use for semantic search, RAG applications, or document retrieval. Best for local development and open-source…

Orchestra-Research/AI-Research-SKILLs · 63 tokens