chore(release): document premium skill package flow

This commit is contained in:
732642856
2026-07-11 11:53:20 +08:00
parent 3cbc9ca585
commit 4a268c75f2
5 changed files with 99 additions and 16 deletions
+46
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@@ -55,6 +55,52 @@ Do not add private birth data, API keys, or desktop oracle screenshots to this p
## Birth-Time Rectification
请使用主动问询式校时:先生成候选时间扫描和选择题,我只回答 A/B/C/D。
""",
"SALES_PACKAGE.md": """# Premium Skill Sales Package
Edition: premium_cloud_drive
## What This Package Includes
- Unified Jyotish runtime entrypoints for skill, MCP, API, and local scripts.
- Evidence packet workflow for D1/D9/D10/D2/D4, dasha boundaries, audit rows, and external oracle status.
- Guided topic entrypoint for users who do not know what to ask.
- Strict workflow prompts for high-rigor readings.
- Release hygiene checks for privacy, clean unzip usage, and user invocation acceptance.
## What This Package Does Not Include
- Private birth data, private case reports, API keys, or desktop oracle screenshots.
- Guaranteed VedAstro cloud closure without `official_raw_response`.
- Completed PyJHora/JHora parity rows unless the operator imports external raw oracle outputs.
- Completed real case replay unless structured case outcomes are imported.
Do not include private birth data in this package. Users provide their own birth data at runtime.
""",
"GUIDED_ENTRYPOINT.md": """# Guided Entrypoint
Use this when the user loads the skill but does not know how to ask.
## Default Flow
1. Ask for birth date, exact or approximate birth time, birthplace, and question language.
2. Run `direct_chart` when birth time is reliable; run `rectification` when birth time is uncertain.
3. Generate `evidence_packet`, `guided_topics`, and `Technique Audit Table` before interpretation.
4. Use `blind=true` when prior personal feedback must not influence the reading.
5. Mark VedAstro as `official_verified`, `official_blocked`, or `local_fallback`.
6. Mark PyJHora/JHora, jyotishganit, Western oracle, and Real Case Calibration as `used`, `partial`, or `blocked`.
## User-Facing Starter
请提供出生日期、出生时间、出生地点和想看的语言。
如果你不知道该问什么,我会先运行 evidence packet,然后给出 3-5 个最值得继续看的主题。
## Output Requirements
- Start from evidence, not story.
- Show blocked or partial techniques.
- Never claim official cloud evidence without raw official evidence.
- Keep `guided_topics` available for the next turn.
""",
}
+25 -16
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@@ -96,22 +96,31 @@ def _case_from_args(args: argparse.Namespace, themes: list[str]) -> dict[str, An
def _run_capability_catalog(case: dict[str, Any]) -> dict[str, Any]:
completed = subprocess.run(
[
sys.executable,
str(RUNNER),
"--bundle",
"official_full_capability_catalog",
"--birth-json",
json.dumps(case, ensure_ascii=False),
],
cwd=ROOT,
text=True,
capture_output=True,
timeout=max(5.0, float(os.environ.get("VEDASTRO_TIMEOUT_SECONDS", "5") or 5)),
check=False,
env=os.environ.copy(),
)
try:
completed = subprocess.run(
[
sys.executable,
str(RUNNER),
"--bundle",
"official_full_capability_catalog",
"--birth-json",
json.dumps(case, ensure_ascii=False),
],
cwd=ROOT,
text=True,
capture_output=True,
timeout=max(5.0, float(os.environ.get("VEDASTRO_TIMEOUT_SECONDS", "5") or 5)),
check=False,
env=os.environ.copy(),
)
except subprocess.TimeoutExpired:
return {
"available": False,
"status": "official_full_capability_catalog_timeout",
"summary": {},
"domain_routing": {},
"sample_outputs": {},
}
if completed.returncode != 0:
return {
"available": False,