Files
hunfabric/tools/skill-turn-harness/TODO.md
Ludovico Magnocavallo 81f72e8068 Add FAST Prerequisites Skill and Gemini Skill Test Harness (#3979)
* initial version of a FAST pre-install skill

* first round of testing

* Update fast-0-org-setup-prereqs skill with improved UX and local path handling

- Add explicit lockout warning and stop condition if the user is not a member of the provided Admin Principal group.
- Streamline bootstrap project selection to only prompt for an override if the active gcloud project is rejected.
- Restrict dataset discovery strictly to the `fast/stages/0-org-setup/datasets/` directory.
- Improve location handling by referencing `defaults.schema.json` for Standard GCP and auto-configuring fixed regions for GCD.
- Add comprehensive `local_path` management: prompt for customization, create directories, move `defaults.yaml` to the local data folder, and symlink `0-org-setup.auto.tfvars` back to the stage directory.

* add testing scenarios, implement initial changes for scenario 2

* move skills

* move to a skills/fast subfolder

* Refactor fast-0-org-setup prereqs skill

* Add skill-turn-harness utility tool

* Use relative markdown links for skill references

* Use descriptive titles for markdown links in skill references

* Add descriptions to each phase in the prerequisites workflow map

* Use backslash for markdown line breaks in skill map

* Update README security warning to mention default .gitignore

* shebang

* Update fast prereqs skill rules to force sequential question flow and refine harness tool with proper ctrl+c handling and slugified log paths

* Move playbook-gcp-dev.yaml to fast/prerequisites/gcp-dev.yaml and update fast prerequisites

* docs(skill-turn-harness): detail autonomous pond testing approach

* docs(skill-turn-harness): add final_state_checks to pond architecture and update toc

* Refine fast prereqs SKILL and gcp-dev playbook to strictly align with one-question-at-a-time rule

* feat(skill-turn-harness): update playbook schema for autonomous persona mode

* feat(skill-turn-harness): implement autonomous persona testing mode and fallback logic

* docs(skill-turn-harness): document the three modes of testing and update ToC

* implement timeout, schema validation, configurable cli

* chore: remove accidentally committed log files

* chore: ignore logs directory

* feat(skill-harness): implement tool execution interception, configurable workspace, and modularized validation

* feat(skill-harness): add model configuration and update README

* fix(skill-harness): automatically inject -y flag to gemini commands

* docs(skill-harness): add TODO.md with analysis for skill environment dependencies

* feat(skill-harness): add working_dir support and clean up fixtures

- Implement working_dir in harness to run tests in specific directories.
- Rename test fixtures and playbooks to be more descriptive.
- Add E2E test for working_dir.
- Apply code quality improvements to harness.py (imports, linting).
- Update README with working directory considerations and usage notes.
- Update phase3-bootstrap-and-iam.md skill doc to add execution rule against creating temp scripts.

* fix: capture customer_id and respect relative paths

* Implement isolated temp workspace sandboxing with symlinks in test harness

* Configure GCD manual autonomous playbook and align Phase 3/4 steps order

* Fix linting and schema tests failures

- Add missing license headers to tools/skill-turn-harness files.

- Fix trailing spaces and newlines in playbooks.

- Ignore tools directory in schema tests workflow.

TAG=agy

CONV=1bb75453-c3e2-448b-bae9-8e332a068012

* Fix Python formatting with yapf

TAG=agy

CONV=1bb75453-c3e2-448b-bae9-8e332a068012

* Refactor skill-turn-harness to use Antigravity SDK

- Migrated harness from gemini-cli subprocesses to Antigravity SDK.
- Implemented real-time step streaming and console logging.
- Added color-coded terminal output (dark gray headers, blue inputs, pink outputs).
- Collapsed excessive newlines in streamed thoughts.
- Excluded harness codebase from workspace copy to prevent agent cheating.
- Enabled skills folder copy to resolve agent lookup loops.
- Added key validation and CLI --debug flag.

* Fix autonomous turn layout: print Turn ID before execution

- Moved the [Autonomous Turn X] header print to before running the agent turn.
- This groups the real-time thinking and tool calls under the correct Turn ID block, instead of displaying them before the label.

* Remove obsolete .log.md from prerequisites skill directory
2026-05-22 17:16:54 +00:00

3.0 KiB

Test Harness TODOs & Analysis

The Problem: Skill Environment Dependencies

During E2E testing of the fast-0-org-setup-prereqs skill, the autonomous agent hallucinated that it needed to git clone the cloud-foundation-fabric repository.

This occurred because the test harness executes the Gemini CLI in a completely empty, isolated temporary workspace (/tmp/gemini_harness_*). However, the FAST skill assumes it is being executed from the root of the cloud-foundation-fabric repository because it needs to:

  1. Read available datasets from fast/stages/0-org-setup/datasets/*/defaults.yaml.
  2. Create a symbolic link from the generated 0-org-setup.auto.tfvars file to fast/stages/0-org-setup/0-org-setup.auto.tfvars.

Because these directories did not exist in the isolated workspace, the agent failed to complete Phase 4 of the setup.

Proposed Solutions for Next Session

We need a way to provide the agent with the expected repository structure during tests without compromising the safety and isolation of the test harness.

Option 1: Add a working_dir Playbook Attribute

Allow the playbook to specify a working_dir (e.g., the actual path to the cloud-foundation-fabric repo) where the CLI should be executed, bypassing the temporary workspace creation.

Risks & Impacts:

  • Chat History Pollution: The test's conversation will be saved to the global ~/.gemini/tmp/cloud-foundation-fabric/chats/ directory, mixing test runs with the developer's actual day-to-day CLI usage.
  • Session Retrieval: The harness will need to be updated to find the newest session-*.json file in that directory, rather than assuming it's the only one.
  • File Modification Risk: If the agent hallucinates or a test is poorly written, it could modify or delete real files in the repository instead of sandboxed test files.
  • Cleanup: The harness cannot safely clean up the workspace after the test completes.

Keep the isolated temporary workspace (/tmp/gemini_harness_*), but add a symlink_paths array to the playbook schema.

Before the test starts, the harness would dynamically create symbolic links from the real repository (e.g., fast/, modules/) into the temporary workspace.

Benefits:

  • Total Isolation: The agent's chat history remains isolated in a temporary .gemini/tmp/gemini_harness_*/ directory.
  • Safe Execution: The agent sees the directory structure it expects (and can read the defaults.yaml files), but any new files it creates (like the custom-fast-config directory or the 0-org-setup.auto.tfvars symlink) are created safely inside the temporary workspace.
  • Automatic Cleanup: The entire workspace (including the symlinks and generated files) is safely deleted when the test finishes.

Next Steps

  1. Decide between Option 1 (working_dir) and Option 2 (symlink_paths).
  2. Implement the chosen solution in harness.py.
  3. Update playbook.schema.json and README.md.
  4. Re-run the gcp-dev-autonomous.yaml E2E test to verify Phase 4 completes successfully.