improve(development-codebase-tools): rewrite context-loader agent to remove fictional capabilities#464
improve(development-codebase-tools): rewrite context-loader agent to remove fictional capabilities#464
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Rewrite context-loader-agent to remove fictional stateful features (checkpoint persistence, JSON-LD exchange protocol, msgpack/protobuf storage, compression algorithms) that Claude cannot implement as a stateless LLM. Reduce from 433 lines to a focused 75-line agent with: - Clear description with concrete trigger phrases for reliable selection - Add model field (claude-sonnet-4-6) - Simplified 7-step process (discover → read → analyze → map → deps → risks → synthesize) - Practical markdown output format instead of JSON schemas - Retain NO CODE WRITING constraint and⚠️ flagging guideline
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🤖 Claude Code Review
Review SummaryThis PR rewrites the Changes Reviewed
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📚 Documentation Check ✅Verdict: Passed Version bump is present (2.1.1 → 2.2.0) and CLAUDE.md was updated. README.md has a stale description but fail_on_missing_docs is false. PR #464 Documentation ReviewChanges analyzed: Significant refactor of Checks
The critical requirement (version bump) is satisfied. The README description is stale and should be updated to match the new agent behavior. Missing Updates
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📋 Review verdict: APPROVE
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| name: context-loader-agent | ||
| description: Advanced context management system for deep codebase understanding, intelligent summarization, and cross-agent context sharing. | ||
| description: Analyzes and summarizes a specific codebase area so other agents can implement or debug it correctly. Use when an orchestrator needs deep understanding of a subsystem before delegating work. Trigger phrases: "analyze this area", "load context for", "summarize the X module", "understand how X works", "prepare context before implementation", "what patterns does X use", "give me context on". |
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The description value is a plain YAML scalar, but it contains Trigger phrases: inside the text; that extra : followed by a space is parsed as a new mapping separator, so standard YAML parsers fail to read this frontmatter. In environments that parse agent metadata from YAML frontmatter (agent discovery/routing), this makes context-loader-agent unloadable. Wrap the full description in quotes (or use a folded block scalar) so the metadata remains parseable.
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Fixed — wrapped the full description value in double quotes so the YAML parser treats Trigger phrases: as part of the string scalar rather than a new mapping key. The formatter normalized it to single quotes, which is equivalent and equally valid.
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Verified — the description is now wrapped in single quotes on line 3 of context-loader.md, which correctly prevents the YAML parser from interpreting Trigger phrases: as a mapping key. The fix looks correct.
wkoutre
changed the title
- Quote description frontmatter value to prevent YAML parse failure on "Trigger phrases:" colon-space sequence (P1 inline comment) - Bump plugin version 2.1.1 -> 2.2.0 for significant context-loader rewrite (docs-check BLOCKING) - Update CLAUDE.md to remove stale checkpointing/cross-agent-sharing description (docs-check WARNING) PR: #464
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their stale review
Superseded by new review after PR update
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📋 Review verdict: APPROVE
👆 The main review comment above is the source of truth for this PR review. It is automatically updated on each review cycle, so always refer to it for the most current feedback.
This formal review submission is for the verdict only.
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Summary
context-loader-agentto remove fictional stateful features (checkpoint persistence, JSON-LD exchange protocol, msgpack/protobuf storage backends, compression algorithms) that a stateless LLM cannot implementdescriptionfield for reliable orchestrator selectionmodel: claude-sonnet-4-6fieldTest plan
nx run development-codebase-tools:validate)AI-Generated Description
Summary
context-loader-agentfrom 432 lines to ~70 lines, removing fictional stateful features that a stateless LLM subagent cannot implement (checkpoint persistence, JSON-LD exchange protocol, msgpack/protobuf storage backends, compression algorithms, relevance scoring with weighted coefficients)descriptionfor reliable orchestrator routingmodel: claude-sonnet-4-6fieldChanges
packages/plugins/development-codebase-tools/agents/context-loader.mdpackages/plugins/development-codebase-tools/CLAUDE.mdpackages/plugins/development-codebase-tools/.claude-plugin/plugin.jsonWhy this approach
The previous prompt described capabilities a stateless text-generation model fundamentally cannot implement: versioned checkpoint persistence, cross-agent context sharing via JSON-LD, storage backends (object storage, distributed cache, vector database), compression algorithms with byte-level metrics, and a scoring algorithm with weighted coefficients. None of these could be executed by an LLM subagent. The rewrite keeps only what the agent can actually do: read code, identify patterns, and produce a structured summary.
Test plan
node scripts/validate-plugin.cjs packages/plugins/development-codebase-tools)