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How to run a scripted audit in CI with explicit flags with iFixAi

Add a fully scriptable iFixAi run to a pipeline using explicit flags and no interactive wizard.

Authorization notice. iFixAi is dual-use. Only use it on software, sites and systems you own or have explicit permission to test.

Credentials. The key is passed through the --api-key flag, so keep it in the CI secret store and avoid echoing it in build logs.

Who it is forA platform or DevOps engineer who wants a repeatable agent check on every build without human prompts.

The problemInteractive setup does not fit automated pipelines, so the audit must be driven by flags and environment variables.

The outcomeA pipeline step that writes JSON and Markdown reports on each run, with a no-key smoke test available.

What you need first

  • Python 3.10 or newer, with pip (or uv for the zero-install paths)
  • An API key for the model or agent you want to test
  • A second API key from a different vendor if you want a citable grade (the judge)
  • A terminal, or an agent such as Claude Code or Codex that can install a plugin

Steps

  1. Run pip install "ifixai[anthropic]" in the pipeline environment.
  2. Run ifixai run --provider mock --api-key not-used --eval-mode self to confirm the pipeline works without keys or network.
  3. Export your provider key as an environment variable in the CI secret store.
  4. Run ifixai run --provider anthropic --api-key "$ANTHROPIC_API_KEY" --eval-mode self and archive the reports in ./ifixai-results/. (inferred, check the README)

Prompt for your agent

Use the iFixAi repo at ifixai-ai/iFixAi to add a CI step that audits <agent provider>. Use explicit flags with no wizard, run the mock smoke test first, then the real run. Verify that the smoke test output shows a failing scorecard for B01 and P01, which is expected from the bundled default fixture.

Caveat. The smoke test shows that the pipeline runs, not that the agent is good, and --eval-mode self results are not citable.

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Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page