By lollipopkit
Prevent context overflow when processing large files, logs, repos, or tool outputs by sharding inputs across sub-agents for map-reduce summarization with evidence verification and adversarial security checks
Run the context-firewall workflow: split inputs, invoke FileWorkers, aggregate into SubResult.v1.
Generate a TaskSpec.v1 JSON template for the context-firewall workflow.
Verify SubResult.v1 by sampling evidence locators and re-reading only referenced snippets.
Use this agent when multiple FileWorker results need to be merged into a single SubResult.v1, with de-duplication, clustering, and conflict detection.
Use this agent when a high-risk TaskSpec/SubResult needs an independent second pass to reduce hallucinations, validate coverage, or resolve cross-file causal claims.
Use this agent when a task requires reading or scanning large inputs (files/logs/PDFs/images/tool outputs) and returning a compressed, auditable SubResult fragment with evidence locators.
Uses power tools
Uses Bash, Write, or Edit tools
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GPT 5.2 / Claude 4.5 Opus is recommended for the best experience.
recursive-reasoning: Recursive Reasoning Engine - multi-pass reasoning with Self-Refine, Reflexion, Tree of Thoughts.devloop: Iterate on an issue until it is ready to merge: create branch, fix, commit, open PR, wait for AI review, apply feedback, repeat.context-firewall: Use sub-agents to preprocess large inputs into auditable, compressed results with evidence locators (Map-Reduce + verification).In Claude Code:
# Add this repo as a marketplace
/plugin marketplace add lollipopkit/cc-plugins
# Install plugins from this marketplace
/plugin install <plugin-name>@lk-ccp # replace <plugin-name> with the specific plugin name
If you want to use the local version of this repo:
# Add local folder as a marketplace
/plugin marketplace add .
# Install plugins from the local marketplace
/plugin install <plugin-name>@lk-ccp
MIT
npx claudepluginhub lollipopkit/cc-plugins --plugin context-firewallRecursive Reasoning Engine - iteratively refine answers through multi-pass reasoning using Self-Refine, Reflexion, Tree of Thoughts, and multi-model collaboration
Iterate until ready to merge: create branch, fix, commit, open PR, wait for AI review, apply feedback, repeat.
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