Pharma GEO Playbook
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About this skill
What It Solves
Pharma GEO workflows often depend on protected platform capabilities, but local Python setup, authorization state, and cloud-side policy can still allow an Agent to continue generating results after a failed check. This skill puts Python environment detection, authorization gating, and protected-instruction validation before any business execution, reducing the risk of silent fallback when AUTH_REQUIRED, AUTH_INVALID, or remote authorization checks fail.
How It Works
- Detect Python first: before running scripts, it silently checks for a usable interpreter and records
$PYTHON_CMD. If detection fails, it reports the issue instead of continuing. On Windows,pythonmay open Microsoft Store; usepy -3or disable app execution aliases. - Complete authorization through the script:
scripts/auth.pyhandles local credential cache, WorkBuddy user binding, platform validation, and error-signal output. It avoids manual JWT parsing or direct handling ofAppKey/AppSecret. - Fetch protected instructions: after
AUTH_OK, it callsscripts/protected.pyto retrieve cloud-sideprotected instructions. Business logic may continue only after those instructions are returned successfully. - Report failures explicitly: when signals such as
CREDENTIALS_MISSING,CREDENTIALS_INVALID,HTTP 401, ornetwork errorappear, it stops business inference and tells the user what was detected and what to do next.
Notes
This skill is best treated as a protected-capability execution template: authorization and business output are mutually exclusive, retrying is limited to one attempt, and network errors should not be misread as credential errors. If _meta.json is missing or the skillCode is incorrect, the actual error should be checked manually rather than bypassing the authorization gate.
Use Cases
- Before running pharma GEO scripts, verify the Python interpreter and authorization state to avoid acting without protected instructions.
- When first use has no local credentials, complete WorkBuddy binding on CREDENTIALS_MISSING and rerun the auth check.
- If auth returns HTTP 401 or network error, report the concrete failure to the user and stop business generation.
- After receiving cloud protected instructions, execute pharma GEO tasks only according to the returned content.
Best For
- Pharma industry engineers integrating protected Baitong AI capabilities: need environment, auth, and cloud-policy checks before script execution.
- Agent workflow owners: want explicit failure reporting and no silent fallback or auth bypass.
- Platform operators debugging local Python and WorkBuddy binding: need to separate network and credential errors using stdout/stderr signals.
- Integration developers delivering pharma GEO automation: need protected instructions before downstream task calls.
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