EGM Peanuts and Hay Bootstrap (

egm-bootstrap

)

${CLAUDE_PLUGIN_ROOT}/docs/claude.md

Overview

README.md

• Peanuts: Leaf-level Component Package READMEs containing specific file contracts.
• Hay: Parent-level Repository Blueprints that roll up child interface contracts into high-altitude indexes.

Delegation

invoke_subagent

Agent

spawn_agent

agents/<file>.md

name

egm-zoom-out

docs/harnesses.md

Inputs

• path

  : The target root directory path to bootstrap (Required).

• is_worker

  : Internal parameter.

  true

  if executing as a worker Sub-Orchestrator (Optional, default:

  false

  ).

• sub_tree_root

  : Internal parameter. The root path of the assigned subtree partition (Optional).

• target_filename

  : Target contract filename to generate or update (Optional, default:

  "README.md"

  ). Supports alternate blueprint filenames such as

  "EGM.md"

  when pre-existing human-maintained READMEs must not be modified.

Execution Constraints (CRITICAL)

1. No Code Generation: You are strictly limited to documentation. Do not write or refactor any functional source code.
2. VCS Isolation: Do not perform any version control commits (

   git commit

   ,

   git add

   ). All filesystem changes must be written locally using standard file-writing tools. Tracking and submitting is deferred to the human user.
3. Temporary File Isolation: Parallel workers sharing the workspace must perform all status tracking, check-pointing, and log writing in independent, worker-specific directories outside the project repository workspace.
4. Tool Usage (CRITICAL): Use your shell, file-reading, file-writing, and file-editing tools for directory discovery and contract/README generation. Adhere to clean Markdown formatting directly during generation (standard headers, tables, and fenced code blocks). If a project markdown formatter (e.g.

   npx prettier --write

   ) is explicitly configured in the repository, it may optionally be invoked.
5. Subagent Delegation: Spawn sub-orchestrator workers in parallel.
6. Mandatory Safety Gate (CRITICAL): If you discover more than 15 subdirectories, you MUST immediately request user approval (using a structured question tool, if your harness has one, or plain chat) before proceeding with full-tree execution or unbounded subagent spawning.

Workflow

Step 0: Ecosystem & Verification Discovery

1. Inspect the repository root for package/build manifests:
   • Node.js / TypeScript:

     package.json

     ->

     npm test

     (or

     pnpm test

     /

     yarn test

     )
   • Rust:

     Cargo.toml

     ->

     cargo test

   • Go:

     go.mod

     ->

     go test ./...

   • Python:

     pyproject.toml

     /

     pytest.ini

     /

     setup.py

     ->

     pytest

   • C/C++ / Make:

     Makefile

     ->

     make test

   • Bazel:

     BUILD

     /

     BUILD.bazel

     ->

     bazel test //...

   • None found:

     <test-command>

2. Record as

   VerificationCommand

   to populate generated README contracts.

Step 1: Startup Branching Control

1. Check the

   is_worker

   input parameter.
2. If

   is_worker

   is

   true

   , jump directly to Step 4: Sub-Orchestrator Worker Flow to process the assigned

   sub_tree_root

   .
3. If

   is_worker

   is

   false

   or unset, proceed as the Root Orchestrator to Step 2: Incremental Scoping & Safety Gate.

Step 2: Incremental Scoping & Safety Gate (Root Orchestrator)

1. Incremental BFS Discovery: Map the target

   path

   tree level-by-level (BFS) using a directory queue, listing one directory level at a time. (CRITICAL: never run a recursive search such as

   find

   or

   ls -R

   .)
   • Preserve intermediate folder nodes.
   • Ignore symbolic links to prevent infinite recursion.
   • Ignore hidden/system directories (

     .git

     ,

     .antigravity

     ,

     node_modules

     ,

     venv

     ,

     dist

     ,

     build

     ,

     third_party

     ).
   • Read

     .gitignore

     and

     .egmignore

     (if present) and ignore matching glob patterns.
   • Preserve package and build manifests (

     package.json

     ,

     Cargo.toml

     ,

     go.mod

     ,

     pyproject.toml

     ,

     Makefile

     ,

     BUILD

     ) in the discovery map to extract verification targets later.
2. Safety Gate & Unbounded Spawning Approval (CRITICAL): During the BFS loop, if the total running count of discovered directories exceeds 15, immediately pause discovery and request user approval (using a structured question tool, if your harness has one, or plain chat) to warn the user and request approval for full-tree execution:

   • question

     : "The target directory tree contains more than 15 subdirectories. This is a large execution scope. Do you want to proceed with full-tree bootstrapping?"

   • options

     :

     ["Yes, proceed with full tree bootstrapping", "No, abort execution"]

   • (CRITICAL: After requesting approval, you MUST wait for the user's response before continuing or spawning any workers).
   • If the user selects abort, terminate execution immediately.
3. Bottom-up Post-Pruning Pass: Once mapping is complete (and approved), walk the mapped tree bottom-up (leaves to root). Filter out non-code and test-only directories:
   • Source Code Files: Files matching recognized source code, schema, and contract extensions:
     • Systems & Compiled:

       .c

       ,

       .cc

       ,

       .cpp

       ,

       .cxx

       ,

       .h

       ,

       .hh

       ,

       .hpp

       ,

       .rs

       ,

       .go

       ,

       .zig

       ,

       .lean

     • Managed & Enterprise:

       .java

       ,

       .kt

       ,

       .scala

       ,

       .cs

       ,

       .fs

     • Scripting & Dynamic:

       .py

       ,

       .rb

       ,

       .php

       ,

       .lua

       ,

       .sh

       ,

       .bash

     • Web & Mobile:

       .ts

       ,

       .tsx

       ,

       .js

       ,

       .jsx

       ,

       .mjs

       ,

       .cjs

       ,

       .swift

       ,

       .m

       ,

       .dart

     • Data & Schemas / IDLs:

       .sql

       ,

       .proto

       ,

       .graphql

       ,

       .gql

       ,

       .thrift

       ,

       .prisma

     • Infrastructure / Declarative Code:

       .tf

       ,

       .hcl

       ,

       .cue

       (Excludes build manifests, lockfiles, test fixtures, documentation, and generic data dumps like

       .csv

       ,

       .tsv

       ,

       .parquet

       ).
   • Test Directory Exclusion: Exclude directories containing exclusively test code (e.g. named

     tests

     ,

     testing

     ,

     testdata

     , or containing only files matching

     *_test.*

     ,

     *Test.*

     ,

     test_*.*

     , or

     *.spec.*

     ).
   • Non-Code Filtering: Exclude any directory that contains no source code files AND contains no subdirectories with code. Retain empty intermediate folders only if they have child directories that contain code.
4. Calculate the total count of pruned directories and maximum depth. Proceed to Step 3: Execution Strategy Selection.

Step 3: Execution Strategy Selection (Root Orchestrator)

1. Direct Execution Strategy (Directory Count <= 5):
   • If the total count of pruned directories is 5 or fewer, execute the bottom-up documentation directly in the current thread.
   • Jump to Step 4: Sub-Orchestrator Worker Flow (treating the Root Orchestrator as the worker for the entire

     path

     ), and then proceed to Step 5: Root Compilation & Termination.
2. Unbounded Parallel Subagent Swarm Strategy (Directory Count > 5):
   • (CRITICAL: If Directory Count > 15, you MUST verify that you have received explicit user approval before proceeding. If not yet approved, request approval immediately and wait for the user's response before spawning workers).
   • Partition the discovery map into independent subtree branches using the Adaptive Depth Partitioning Algorithm:
     1. Set

        depth = 1

        .
     2. Extract directory nodes from the discovery map located at the current

        depth

        .
     3. If the count of nodes at

        depth

        is between 3 and 5: select these nodes as subtree partition roots.
     4. If the count of nodes at

        depth

        < 3: increment

        depth

        (up to a max of 3) and repeat step 2.
     5. If the count of nodes at

        depth

        > 5: group the largest branches (by total nested folder count) into 3-4 separate partitions, combine the remaining small branches into a single fallback partition subtree, and select these as partition roots.
     6. Fallback: If

        depth

        reaches 3 and count is still < 3, select the immediate children of the root (or fall back to sequential execution).
   • Spawn Unbounded Sub-Orchestrators: For each partition subtree root, use your harness's subagent tool to spawn a parallel worker:
     • Subagent:

       egm-bootstrap-orchestrator

       (

       agents/bootstrap_orchestrator.md

       ) (or a general-purpose subagent)

     • Prompt

       : "Run egm-bootstrap with path=

       [path]

       , is_worker=true, sub_tree_root=

       [partition_root]

       , target_filename=

       [target_filename]

       ."
   • Unbounded Execution: Spawn all Sub-Orchestrators in parallel without artificial concurrency limits (as authorized by the user during the safety gate).
   • Go idle and wait for all worker subagents to return their JSON subtree index payloads. Jump to Step 5: Root Compilation & Termination.

Step 4: Sub-Orchestrator Worker Flow

1. Scout Registration: Use a read-only

   goldfish-explorer

   scout. Where your harness supports defining subagents at runtime, register it with:

   • name

     :

     goldfish-explorer

   • description

     :

     Read-only codebase explorer scout.

   • system_prompt

     : >- You are a read-only codebase explorer. Your task is to analyze the source files in the target directory and return a concise, factual summary. Do not write or modify any files. Return a JSON object containing the directory's public symbols (interface), invariants, and side effects matching schema: {"interface": [], "invariants": [], "side_effects": []}. Never infer RPC methods, routes, status enums, or invariants from file or directory names alone; cite the exact

     [file:symbol_or_flag]

     for every entry, and output

     ["None"]

     if no explicit invariants or side effects exist in code.

   • enable_write_tools

     :

     false

   • enable_subagent_tools

     :

     false

2. Post-Order Traversal: Walk the assigned

   sub_tree_root

   (or

   path

   ) in post-order (deepest leaves first). For each directory

   D

   :
   • Correction & Modification Policy: Check if

     target_filename

     (default:

     README.md

     ) already exists in

     D

     .
     • If

       target_filename

       exists, do not overwrite it completely. Instead, read its existing content.
     • Scout Scan Requirement: Whether

       target_filename

       exists or not, always scan the source code using the

       goldfish-explorer

       scout for

       D

       to compile the true code symbol boundary.
     • Legacy Extraction & Correction: If

       target_filename

       exists, call the reasoning LLM with prompt: > "Analyze the following unstructured documentation content. Extract all public symbol names, classes, interfaces, invariants, and side effects. Format your response strictly as a JSON object matching the following schema: { "interface": string[], "invariants": string[], "side_effects": string[] }." Merge these extracted symbols with the scout's code symbols. Use your file-editing tool (or your file-writing tool) to correct and update the existing contract file to be EGM compliant while preserving developer notes and descriptions.
   • Scout Spawning & Constraints: Spawn

     goldfish-explorer

     for

     D

     .
     • Scout Constraints: No per-directory or per-file byte cap; every non-test file in

       D

       is read in full. Bound each scout call to about 1,500 lines of source instead: list top-level definitions (class/func/def/route/flag lines) with your search tool, cut the directory's files into chunks at those boundaries (never mid-body; small files share a chunk), spawn one

       goldfish-explorer

       per chunk in parallel, and merge their JSON. Give each chunk the file's imports and top-level definition list so it can judge visibility. Check build-manifest deps and

       import

       /

       #include

       statements before attributing an RPC service, schema, or message type to a local file. Read non-test files in this order:
       1. Contracts, schemas, and build manifests (

          .h

          ,

          .hh

          ,

          .hpp

          ,

          .proto

          ,

          .graphql

          ,

          .gql

          ,

          .thrift

          ,

          .prisma

          ,

          .sql

          DDL, interface classes); extract exact DDL table names and exported build targets.
       2. Module entry points (

          main.*

          ,

          index.*

          ,

          lib.*

          ,

          mod.*

          ,

          __init__.py

          , or files matching directory name), then production source/query files alphabetically.
       3. Templates and configs: up to 200 lines each (800 in config-only directories); exclude

          .css

          /

          .scss

          .
       4. Test files (

          *_test.*

          ,

          *Test.*

          ,

          test_*.*

          ,

          *.spec.*

          ): ignore entirely, including in hybrid directories.
     • Child Fault Tolerance: If the scout fails or times out, log a warning, use placeholder values

       ["(Details pending/documentation failed)"]

       , and continue execution.
   • Parent Context Propagation: When processing a parent directory

     P

     , retrieve the compiled interface summaries of its immediate child subdirectories.
     • Propagation Heuristics:
       1. If the child was documented during this run, retrieve its public interface directly from the in-memory execution cache.
       2. If the child was corrected/modified (Correction Policy), use the merged legacy extraction symbols.
     • Pass these child symbol blocks as prompt context when invoking

       P

       's explorer scout.
   • Verification Command Target Lookup: Populate the Verification section using the discovered

     VerificationCommand

     .
     • If the project uses Bazel/BUILD files: check if a

       BUILD

       file exists in

       D

       or the nearest ancestor, referencing

       bazel test

       /

       bazel build

       with valid target patterns (

       //[package_path]/...

       or

       //[package_path]:all

       , never

       //[package_path]...

       or

       //[package_path]:...

       ). Use

       bazel run

       for interactive runner targets.
     • If the project uses other manifests (

       package.json

       ,

       Cargo.toml

       ,

       go.mod

       ,

       pyproject.toml

       ,

       Makefile

       ), populate with the corresponding test runner command.
     • If no verification command is identified, omit or use a placeholder.
   • Directory Classification & Template Generation: Generate or correct

     target_filename

     using your file-writing tool or your file-editing tool based on

     D

     's classification.
     • Component Package (Peanut):

       D

       contains direct source code files. Use the Component Package README Template. (If it also has child subdirectories, include relative links to their contracts in the Interface section).
     • Repository Blueprint (Hay):

       D

       contains no direct source code files, but contains subdirectories with code contracts. Use the Intermediate Blueprint README Template.
     • Link Formatting Policy (CRITICAL): Package contract files must use a hybrid link formatting approach to balance portability and clarity:
       1. Relative Links to Existing Files Only: Use relative paths (e.g.,

          ./child/${target_filename}

          or

          ../sibling/${target_filename}

          ) for child contracts and sibling file references within the same codebase subsystem. (CRITICAL: Only generate

          [Child](./child/${target_filename})

          links for child directories that exist in the pruned

          subtree_index

          and contain an actual

          ${target_filename}

          . If a child directory contains a

          SKILL.md

          or other non-contract asset, link directly to

          ./child/SKILL.md

          or format it as an unlinked bullet point. Never output speculative links to non-existent contract files).
       2. Absolute Links: Use standard URLs or repository paths for referencing files outside the package subsystem (e.g., cross-package dependencies).
   • Markdown Formatting: Immediately after writing or correcting

     target_filename

     in

     D

     , ensure clean markdown formatting (valid headers, tables, and code fences). If a project markdown formatter (e.g.

     npx prettier --write

     ) is configured in the repository, you may execute it on

     target_filename

     .
3. Worker Reporting: Once the assigned subtree is fully traversed, compile the

   subtree_index

   array containing the

   path

   ,

   summary

   ,

   interface

   ,

   invariants

   , and

   side_effects

   for every processed directory.
4. If

   is_worker

   is

   true

   , read the Worker Return Interface Schema relative to this skill directory, then return a matching JSON payload to the Root Orchestrator and terminate. If

   is_worker

   is

   false

   (sequential mode), proceed directly to Step 5: Root Compilation & Termination.

Step 5: Root Compilation & Termination (Root Orchestrator)

1. Receive Worker Payloads: Collect the JSON

   subtree_index

   payloads returned by all parallel Sub-Orchestrators.
   • Root Fault Tolerance: If a parallel worker fails or times out, log a warning, insert a placeholder warning link (

     [Subtree Root] (Documentation failed / Subagent execution timeout)

     ) in the root Blueprint's subdirectory index, and complete the remaining compilation. (Worker failures leaving partial files are handled as an incremental progress feature; the Correction Policy allows resuming on subsequent runs).
2. Intermediate Directory Documentation: Identify any intermediate directories sitting between the root

   path

   and the partitioned subtree roots.
   • Process these intermediate directories sequentially bottom-up.
   • Generate Intermediate Blueprint contract files using the compiled summaries returned by the workers.
   • Ensure clean formatting and valid relative links for each Intermediate Blueprint contract file.
3. Root Directory Documentation: The target root

   path

   of the execution is always classified as the Repository Root (Blueprint / Hay).
   • Check if

     target_filename

     already exists in

     path

     . If present, apply the Correction & Modification Policy to read and retain the existing title, metadata, and architectural overview at the top of the root contract file.
   • Check if

     path

     itself contains any direct source files. If present, spawn a

     goldfish-explorer

     scout for

     path

     to extract local symbols and invariants, appending them under the optional

     ## Local Interface & Invariants

     section.
   • Compile the final root

     target_filename

     using the Repository Root Blueprint Template, rolling up all top-level subdirectory boundaries. Ensure any root architecture or sequence diagrams strictly match the synchronous / asynchronous boundaries, operation names, and storage backends in the child

     subtree_index

     payloads without inventing unverified nodes.
   • Write the root

     target_filename

     using your file-writing tool.
4. Final Correctness Verification (CRITICAL): You MUST perform a final verification pass across ALL created and modified contract files in the

   subtree_index

   (including all child package contracts like

   pkg1/${target_filename}

   and

   pkg2/${target_filename}

   ) as a correctness check before concluding work. You MUST explicitly read every single created or modified contract file to verify its content. Do not skip any child contract files. Verify:
   • EGM Compliance & Code Grounding: Ensure

     Interface

     ,

     Invariants

     , and

     Side Effects

     sections exist, cite real code symbols/flags/tables from the scout extraction, and contain zero speculative or unverified claims.
   • Markdown Syntax: Ensure clean headers, valid tables, and proper code block fences.
   • Valid & Resolvable Links (CRITICAL): Ensure all subdirectory and sibling links use valid relative paths (

     ./subdir/${target_filename}

     or

     ./subdir/SKILL.md

     ), and explicitly verify that every referenced target file actually exists on the filesystem. Remove or correct any broken relative references.
   • Valid Targets: Verify verification targets match project test configuration and use valid target syntax (for Bazel,

     /...

     or

     :all

     , never

     :...

     ).
5. Optional Drift Review (CRITICAL): After verification, ask the user (using a structured question tool, if your harness has one, or plain chat) to offer running a drift report on the generated documentation updates:

   • question

     : "Do you want to run the EGM Drift Report on the generated contract updates to check for consistency with the codebase?"

   • options

     :

     ["(Recommended) Yes, run drift report on modified contracts", "No, skip drift review"]

   • If the user selects "Yes", run the

     egm-drift-report

     skill targeting the modified contracts to verify both missing code coverage and doc-to-code hallucinations (verifying every documented method, route, enum, database table, and invariant against local source files and recording discrepancies in the drift report for human triage). (Note: While

     egm-drift-report

     is often used for design documents, it can be applied to EGM-compliant contracts as a variant).
6. Terminate execution successfully.

Templates