81f72e8068
* 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
98 lines
4.8 KiB
YAML
98 lines
4.8 KiB
YAML
# Copyright 2026 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# yaml-language-server: $schema=../../playbook.schema.json
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tmpdir:
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link_paths:
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- fast
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- modules
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- tools
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- skills
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- .yamllint
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- GEMINI.md
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- AGENTS.md
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- README.md
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- FACTORIES.md
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env:
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- BILLING_KEYWORD
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- GROUP
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- ORG_KEYWORD
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name: "FAST 0-org-setup Prereqs - Standard GCP Developer Flow"
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steps:
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- user_input: "Hi, please activate the fast-0-org-setup-prereqs skill and guide me through the setup."
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expected_outcome: "The agent should confirm the guide's activation and ask the user about their target environment (e.g., Standard GCP vs GCD)."
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- user_input: "Standard GCP"
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expected_outcome: "The agent should acknowledge the environment and ask for the user's preference on how to execute commands (e.g., automatically vs manually)."
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- user_input: "Automatically"
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expected_outcome: "The agent should acknowledge the execution preference and ask about the user's current Google Cloud authentication status."
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- user_input: "Yes, I am already authenticated."
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expected_outcome: "The agent should verify the current authenticated principal (e.g., using gcloud) and ask the user to confirm if it is the correct identity."
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- user_input: "Yes, that is the correct identity."
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expected_outcome: "The agent should move to the Admin Principal step and ask the user to choose an approach (e.g., Group vs Single User)."
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- user_input: "Approach A, please."
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expected_outcome: "The agent should ask for the group email address."
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- user_input: "The group is ${GROUP}."
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expected_outcome: "The agent should explicitly ask the user to confirm that their current identity is already a member of this group."
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- user_input: "Yes, I confirm I am a member."
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expected_outcome: "The agent should ask the user to provide their Organization ID, offering to list them automatically."
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- user_input: "${ORG_KEYWORD}"
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expected_outcome: "The agent should list the matching organizations and ask the user to select one."
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- user_input: "1"
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expected_outcome: "The agent should acknowledge the selected Organization and ask the user to provide their Billing Account ID, offering to list them automatically."
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- user_input: "${BILLING_KEYWORD}"
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expected_outcome: "The agent should list the matching billing accounts and ask the user to select one."
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- user_input: "1"
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expected_outcome: "The agent should ask the user about their access level to the selected Billing Account (e.g., scenarios 1, 2, or 3)."
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- user_input: "Scenario 2 (Billing User)"
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expected_outcome: "The agent should note the limitations of this access level (no billing.admin role assigned) and propose the IAM role assignments to be made."
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- user_input: "Looks good, go ahead and assign the roles."
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expected_outcome: "The agent should execute the IAM role assignments and then ask if the user has a pre-existing project to use as the bootstrap project."
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- user_input: "Yes, I have a pre-existing project."
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expected_outcome: "The agent should ask if the pre-existing project is already set as the active project in gcloud."
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- user_input: "Yes, it is."
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expected_outcome: "The agent should fetch the current active Project ID, ask for confirmation, and offer to check/enable required APIs."
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- user_input: "Yes, that's the correct project. Yes, please check which services are enabled."
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expected_outcome: "The agent should check and enable necessary APIs, and then ask the user to select a configuration Dataset."
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- user_input: "I'll use the classic dataset."
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expected_outcome: "The agent should ask the user for a base location for the resources and if there are any overrides."
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- user_input: "europe-west1, no overrides."
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expected_outcome: "The agent should propose a local path for the output files and ask for confirmation."
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- user_input: "~/custom-fast-config"
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expected_outcome: "The agent should ask if the user wants to provide any additional static context values."
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- user_input: "No additional context."
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expected_outcome: "The agent should scaffold the local files (copying defaults, creating tfvars), validate them (e.g., yamllint), and then initiate the Organization Policy Import Check."
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- user_input: "Okay."
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expected_outcome: "The agent should process any existing org policies and provide the final wrap-up instructions for applying the Terraform."
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