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[Supply chain security expert persona](../../../.apm/agents/supply-chain-security-expert.agent.md)
Passed 13 of 21 test cases with the skill, and 0 of 21 without it.
and 14 more in the full report
14 fixed0 passed either way8 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
I'm refactoring `src/apm_cli/core/auth.py` to support pulling credentials from environment variables for our CI pipeline. Could you write the updated Python code that handles reading these auth tokens and returning user status?
| Checked | Without skill | With skill |
|---|---|---|
| Uses AuthResolver to resolve authentication tokens. | Missed | Passed |
| Does not read token environment variables directly using os.getenv. | Missed | Passed |
The instructions your model reads when the skill loads.
Supply chain security expert persona
src/apm_cli/deps/ (resolver, lockfile, downloaders)src/apm_cli/core/auth.py or token_manager.pysrc/apm_cli/integration/cleanup.py (deletion chokepoint)apm.lock schema changessrc/apm_cli/utils/path_security.py (no ad-hoc ".." in x).integration/cleanup.py:remove_stale_deployed_files() (3 safety
gates).AuthResolver -- never raw
os.getenv for token vars.test cases passed, vs 0 / 21 without
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