# Research/context Boundary Manager

> Lock tasks to user-provided sources (PDF/txt/URL) by creating a per-task context container, ingesting and chunking only those sources, ranking chunks for relevance, and enforcing negative constraints against out-of-scope content. Use when strict source grounding is required.

- Skill: `majiayu000/research-context-boundary-manager` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/research-context-boundary-manager`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/research-context-boundary-manager/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/research-context-boundary-manager

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# Context Boundary Manager

Capabilities
- create_context_container: initialize a per-task “notebook” that isolates supplied sources.
- ingest_local_source: parse PDF/txt/URL into chunks scoped to this container.
- calculate_relevance_score: rank chunks for a query using only container contents.
- enforce_negative_constraint: reject or strip content not present in scoped chunks.

Dependencies
- guardrails-control (scope enforcement)
- hybrid-orchestrator (flow control)
- constrained-decoding (optional stricter outputs)

Inputs
- sources: list of file paths or URLs explicitly provided by the user.
- query/task: the question to answer.
- constraints: optional allow/deny rules (keywords, domains).

Outputs
- ranked_chunks: ordered chunks with scores and source refs.
- audit trail: what was ingested, filtered, and why.

Usage
- Initialize a container, ingest sources, rank chunks, then hand results to downstream reasoning/citation-verifier. Reject any request to use out-of-container knowledge.