fix

Automatically fix issues in MTHDS method bundles.

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Install skill "fix" with this command: npx skills add mthds-ai/skills/mthds-ai-skills-fix

Fix MTHDS bundles

Automatically fix issues in MTHDS method bundles.

Process

Prerequisite: See CLI Prerequisites

Step 1: Validate and Identify Errors

Always use -L pointing to the bundle's own directory to avoid namespace collisions:

mthds-agent pipelex validate <file>.mthds -L <bundle-directory>/

Parse the JSON output:

  • If success: true — nothing to fix, report clean status

  • If error_type: "ValidateBundleError" — iterate through validation_errors array and fix each (Step 2)

  • If model/config error — see Error Handling Reference (cannot be fixed by editing the .mthds file)

Step 2: Fix .mthds Validation Errors

Use the error_type field from each validation error to determine the fix:

Error Type Fix Strategy

missing_input_variable

Add the missing variable(s) to the parent pipe's inputs line

extraneous_input_variable

Remove the unused variable(s) from the pipe's inputs line

input_stuff_spec_mismatch

Correct the concept type in inputs to match what the sub-pipe expects

inadequate_output_concept

Change the output field to the correct concept type

inadequate_output_multiplicity

Add or remove [] from the output concept

circular_dependency_error

Restructure the method to break the cycle

llm_output_cannot_be_image

Use PipeImgGen instead of PipeLLM for image generation

img_gen_input_not_text_compatible

Ensure PipeImgGen input is text-based (use ImgGenPrompt )

invalid_pipe_code_syntax

Rename the pipe to valid snake_case

unknown_concept

Add the concept definition to the bundle, or fix the typo

batch_item_name_collision

Rename input_item_name (or batch_as ) to a distinct singular form of the list name. Also update the branch pipe's inputs to use the new item name.

For error type descriptions, see Error Handling — Validation Error Types.

Step 3: Fix TOML Formatting Issues

These aren't always reported by validation but cause problems:

Multi-line inputs — must be on a single line:

WRONG

inputs = { a = "A", b = "B" }

CORRECT

inputs = { a = "A", b = "B" }

Pipe ordering — controllers before sub-pipes:

CORRECT: main pipe first, then sub-pipes in execution order

[pipe.main_workflow] type = "PipeSequence" steps = [ { pipe = "step_one", result = "intermediate" }, { pipe = "step_two", result = "final" } ]

[pipe.step_one] ...

[pipe.step_two] ...

Missing required fields — add with sensible defaults:

  • description on every pipe and concept

  • type on every pipe

  • output on every pipe

Step 4: Re-validate

After applying fixes, re-validate:

mthds-agent pipelex validate <file>.mthds -L <bundle-directory>/

Continue the fix-validate loop until success: true is returned. Some fixes reveal new issues — for example, fixing a missing_input_variable may expose an input_stuff_spec_mismatch on the newly added input.

If the fix-validate loop gets stuck or errors are unclear, re-run with --log-level debug for additional context:

mthds-agent --log-level debug pipelex validate <file>.mthds -L <bundle-directory>/

Step 5: Report Results

  • List all changes made (which pipes were modified and how)

  • Show the final validation result

  • Flag any remaining warnings or suggestions

Reference

  • CLI Prerequisites — read at skill start to check CLI availability

  • Error Handling — read when CLI returns an error to determine recovery

  • MTHDS Agent Guide — read for CLI command syntax or output format details

  • MTHDS Language Reference — read when writing or modifying .mthds TOML syntax

  • Native Content Types — read when fixing type mismatches involving native concepts, to verify available attributes

Source Transparency

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