root/Jyotisha
2
0
Fork 0
Code Issues Pull Requests 1 Actions Packages Projects Releases Wiki Activity

feat: sync skill truth audit safeguards

Browse Source
This commit is contained in:
732642856
2026-07-19 16:36:41 +08:00
parent 352809fa82
commit 3cdd6bfdf0
10 changed files with 474 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files
SKILL.md
+10
View File
@@ -13,8 +13,18 @@ description: "印度占星（Jyotish）专业解盘与推运系统。核心能
> **执行总控**：`references/quick-reference-guide.md`
> **严格路由**：`references/strict-workflow-router.md`（涉及事业/婚恋/财务/应期/技法验证时必须优先读取）
> **机器注册表**：`references/technique_registry.json` + `scripts/audit_capabilities.py`
> **能力真相边界**：回答前必须参考 `references/oracle/skill_truth_overlay_2026_07_19.json` 与 `references/oracle/effective_skill_capability_view_2026_07_19.json`；不得直接把 `references/technique_registry.json` 的旧 `covered` 当作完整闭环。
> **文章级细节模板**：`references/interpretation_template_registry.json` + `scripts/validate_interpretation_templates.py`
### Skill truth overlay 硬边界
KP/Muhurta/Gochara/Sahams/Sphuta/Tajika等高阶分支必须按 skill truth overlay 降级使用；商业回答必须区分 `ready / partial / reference-only / blocked`。
| 技法 | 商业回答边界 |
|---|---|
| KP系统 | reference-only / partial |
| Muhurta/Gochara/Sahams/Sphuta/Tajika | 只作参考或探索性证据，除非 evidence packet 明确升级 |
## v6.9.14 核心能力
| 维度 | 数据 |
references/cross_project_contract/cross_repo_strategy_diff_audit_2026_07_19.json
+74
View File
@@ -0,0 +1,74 @@
{
"created_at": "2026-07-19",
"items": [
{
"commercial_sha256": "548d177786b76d846e5694e74dc32841bb2618989c1a1ec7dd4d0b7f2b298fbc",
"notes": [
"commercial_retains_annotation_protocol_pointer"
],
"path": "references/real_case_calibration/day_level_holdout_v3_preregistration.json",
"research_sha256": "d7f794630d3def6f9f7b5d94c4365bb508c60a8b44228f35a2d2d4548ea9f360",
"status": "intentional_diff_review_required"
},
{
"commercial_sha256": "f5812c7ce35e67d1760ba0d0ada0157bd28ece2cb9be817e0d47321e592a0116",
"notes": [
"commercial_retains_observational_validation_mode_for_product_intake"
],
"path": "scripts/day_level_holdout_validator.py",
"research_sha256": "a37f4fb63af2fdf42591c6a4fe3870c11663f3126309628001ed365f18817b90",
"status": "intentional_diff_review_required"
},
{
"commercial_sha256": "6e3063eeacfc6730a877a9780b9a82892defe71f74cd4561182ffc7fbfa9fac5",
"notes": [
"research_has_stricter_self_host_truth_upgrade_gate"
],
"path": "scripts/vedastro_identity_archive.py",
"research_sha256": "333e490f5a2086dc046819d24285962d8660a6fd7cd022eeca2b586e8887b82e",
"status": "intentional_diff_review_required"
},
{
"commercial_sha256": "d4a2957ebbe336091544f34da20983d3152dcdca8e11b9b5f5da4eed21c69beb",
"notes": [
"diff_requires_manual_review_before_copy"
],
"path": "tests/test_day_level_holdout_validator.py",
"research_sha256": "e130327895f848980da79fa4dc2d5b6802038473c8b457390f1d96aae60715d5",
"status": "intentional_diff_review_required"
},
{
"commercial_sha256": "6ab6a5b5052334eaad04b2c8f2260e5966ba789e862c69a8ebfd4adcf0d96f40",
"notes": [
"test_policy_diff_only_no_runtime_effect"
],
"path": "tests/test_shadbala_av_normative_benchmark_plan.py",
"research_sha256": "73d80cd00b21b48993ba31a2018205ffe6d2c75474062ac19ed156a3e9dce163",
"status": "intentional_diff_review_required"
},
{
"commercial_sha256": "58024551bd9bb620e2cbfe1c9a28ccdce2d2c5f1588ffae19ca3fbe0082bdd64",
"notes": [
"commercial_answer_boundary_assertions_may_include_product_context"
],
"path": "tests/test_skill_truth_overlay_application.py",
"research_sha256": "845aa750f740690c880b79d44960799a56ef379cc2f96c99919a12eb52e16077",
"status": "intentional_diff_review_required"
},
{
"commercial_sha256": "1300c089410d914936f44abb478dbeb4b7c17ad502b587867df2fce31487aacd",
"notes": [
"paired_with_vedastro_identity_archive_policy"
],
"path": "tests/test_vedastro_identity_archive.py",
"research_sha256": "de9c183b39dd2a11b9b8d4f39877e794e2d4e5fb37236629fdfd768ecbe0f6e0",
"status": "intentional_diff_review_required"
}
],
"scope": "cross_repo_strategy_diff_audit",
"status": "do_not_blind_overwrite",
"summary": {
"diff_count": 7,
"policy": "Commercial may keep product-safe wrappers while importing research truth gates only when compatible."
}
}
references/oracle/technique_promotion_audit_vimsopaka_avastha_2026_07_19.json
+51
View File
@@ -0,0 +1,51 @@
{
"created_at": "2026-07-19",
"items": [
{
"claim_boundary": "Runtime presence is real, but Vimsopaka weight table/source/oracle closure is still separate.",
"current_call_status": "formally_called_in_full_reading",
"entrypoints": [
"full_reading prompt pack",
"vimsopaka_semantic_summary"
],
"historical_artifacts": [
"skills/jyotish-engine-modules/scripts/vimsopaka_calculator.py"
],
"main_artifacts": [
"scripts/full_reading.py",
"tests/test_cli_smoke.py"
],
"next_action": "add_formula_source_and_oracle_packet",
"reuse_decision": "do_not_duplicate_runtime",
"technique_id": "vimsopaka_bala"
},
{
"claim_boundary": "Avastha is endpoint-visible, but formula variants and interpretive claim level still need source/oracle packet.",
"current_call_status": "formally_called_via_deep_varga_avastha_endpoint",
"entrypoints": [
"/api/deep_varga_avastha",
"jyotish-app skill-map deepVargaAvastha"
],
"historical_artifacts": [
"skills/jyotish-engine-modules/scripts/avastha_calculator.py"
],
"main_artifacts": [
"scripts/deep_varga_avastha.py",
"scripts/jyotish_api_server.py",
"jyotish-app/skill-map.js",
"tests/test_deep_varga_avastha.py"
],
"next_action": "add_display_contract_and_source_oracle_packet",
"reuse_decision": "do_not_duplicate_runtime",
"technique_id": "avastha_states"
}
],
"production_tuning_allowed": false,
"scope": "technique_promotion_audit_vimsopaka_avastha",
"summary": {
"duplicate_runtime_needed": 0,
"formally_called_count": 2,
"items_checked": 2
},
"truth_policy": "runtime_presence_not_oracle_closure"
}
scripts/day_level_holdout_pilot_source_queue_report.py
+90
View File
@@ -0,0 +1,90 @@
#!/usr/bin/env python3
"""Expand pilot day-level holdout source candidates into unscored windows."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
def build_report(queue_path: Path) -> dict:
queue = json.loads(queue_path.read_text(encoding="utf-8"))
windows = []
for subject in queue["subjects"]:
positive = subject["candidate_positive_event"]
windows.append(
{
"subject_id": subject["subject_id"],
"name": subject["name"],
"domain": subject["domain"],
"label_candidate": positive["label"],
"start": positive["start"],
"end": positive["end"],
"event_description": positive["event_description"],
"event_absent_assertion": "",
"source_urls": positive.get("source_urls", []),
"claim_status": "candidate_not_label",
"required_next_step": "independent_human_adjudication",
"scoring_status": "blocked_not_frozen",
}
)
for item in subject["candidate_negative_windows"]:
windows.append(
{
"subject_id": subject["subject_id"],
"name": subject["name"],
"domain": subject["domain"],
"label_candidate": "no_target_event",
"start": item["start"],
"end": item["end"],
"event_description": "",
"event_absent_assertion": item["event_absent_assertion"],
"source_urls": positive.get("source_urls", []),
"claim_status": "candidate_not_label",
"required_next_step": "independent_human_adjudication",
"scoring_status": "blocked_not_frozen",
}
)
positive_count = sum(1 for row in windows if row["label_candidate"] == "target_event")
negative_count = sum(1 for row in windows if row["label_candidate"] == "no_target_event")
return {
"scope": "day_level_holdout_pilot_source_queue_report",
"source_queue": str(queue_path),
"status": "awaiting_independent_human_labels",
"production_tuning_allowed": False,
"blind_scoring_allowed": False,
"truth_boundary": queue["truth_boundary"],
"summary": {
"subject_count": len(queue["subjects"]),
"window_count": len(windows),
"positive_candidate_count": positive_count,
"negative_candidate_count": negative_count,
"ready_annotation_count": 0,
"blocked_annotation_count": len(windows),
},
"windows": windows,
}
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--queue",
type=Path,
default=Path("references/real_case_calibration/day_level_holdout_v3_pilot_source_queue_2026_07_19.json"),
)
parser.add_argument("--output", type=Path)
args = parser.parse_args()
report = build_report(args.queue)
text = json.dumps(report, ensure_ascii=False, indent=2, sort_keys=True) + "\n"
if args.output:
args.output.parent.mkdir(parents=True, exist_ok=True)
args.output.write_text(text, encoding="utf-8")
print(text, end="")
return 0
if __name__ == "__main__":
raise SystemExit(main())
scripts/technique_promotion_audit_vimsopaka_avastha.py
+85
View File
@@ -0,0 +1,85 @@
#!/usr/bin/env python3
"""Audit Vimsopaka/Avastha fragments against current runtime entrypoints."""
from __future__ import annotations
import argparse
import json
from pathlib import Path
def _contains(path: Path, tokens: list[str]) -> bool:
text = path.read_text(encoding="utf-8")
return all(token in text for token in tokens)
def build_audit(root: Path) -> dict:
full_reading = root / "scripts/full_reading.py"
api_server = root / "scripts/jyotish_api_server.py"
deep = root / "scripts/deep_varga_avastha.py"
skill_map = root / "jyotish-app/skill-map.js"
tests = root / "tests/test_cli_smoke.py"
deep_tests = root / "tests/test_deep_varga_avastha.py"
vimsopaka_called = _contains(tests, ["vimsopaka_semantic_summary", "modules", "vimsopaka"])
avastha_called = _contains(api_server, ["/api/deep_varga_avastha", "_compute_deep_varga_avastha"]) and _contains(
deep, ["AvasthaCalculator", "DivisionalChartsCalculator"]
)
items = [
{
"technique_id": "vimsopaka_bala",
"current_call_status": "formally_called_in_full_reading" if vimsopaka_called else "partial",
"main_artifacts": ["scripts/full_reading.py", "tests/test_cli_smoke.py"],
"historical_artifacts": ["skills/jyotish-engine-modules/scripts/vimsopaka_calculator.py"],
"entrypoints": ["full_reading prompt pack", "vimsopaka_semantic_summary"],
"reuse_decision": "do_not_duplicate_runtime",
"next_action": "add_formula_source_and_oracle_packet",
"claim_boundary": "Runtime presence is real, but Vimsopaka weight table/source/oracle closure is still separate.",
},
{
"technique_id": "avastha_states",
"current_call_status": "formally_called_via_deep_varga_avastha_endpoint" if avastha_called else "partial",
"main_artifacts": [
"scripts/deep_varga_avastha.py",
"scripts/jyotish_api_server.py",
"jyotish-app/skill-map.js",
"tests/test_deep_varga_avastha.py",
],
"historical_artifacts": ["skills/jyotish-engine-modules/scripts/avastha_calculator.py"],
"entrypoints": ["/api/deep_varga_avastha", "jyotish-app skill-map deepVargaAvastha"],
"reuse_decision": "do_not_duplicate_runtime",
"next_action": "add_display_contract_and_source_oracle_packet",
"claim_boundary": "Avastha is endpoint-visible, but formula variants and interpretive claim level still need source/oracle packet.",
},
]
return {
"scope": "technique_promotion_audit_vimsopaka_avastha",
"created_at": "2026-07-19",
"truth_policy": "runtime_presence_not_oracle_closure",
"production_tuning_allowed": False,
"summary": {
"items_checked": len(items),
"formally_called_count": sum("formally_called" in item["current_call_status"] for item in items),
"duplicate_runtime_needed": 0,
},
"items": items,
}
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument("--root", type=Path, default=Path("."))
parser.add_argument("--output", type=Path)
args = parser.parse_args()
audit = build_audit(args.root)
text = json.dumps(audit, ensure_ascii=False, indent=2, sort_keys=True) + "\n"
if args.output:
args.output.parent.mkdir(parents=True, exist_ok=True)
args.output.write_text(text, encoding="utf-8")
print(text, end="")
return 0
if __name__ == "__main__":
raise SystemExit(main())
tests/test_cross_repo_strategy_diff_audit.py
+30
View File
@@ -0,0 +1,30 @@
from __future__ import annotations
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
AUDIT = ROOT / "references" / "cross_project_contract" / "cross_repo_strategy_diff_audit_2026_07_19.json"
def test_strategy_diff_audit_blocks_blind_overwrite() -> None:
data = json.loads(AUDIT.read_text(encoding="utf-8"))
assert data["scope"] == "cross_repo_strategy_diff_audit"
assert data["status"] == "do_not_blind_overwrite"
assert data["summary"]["diff_count"] == 7
def test_strategy_diff_audit_tracks_vedastro_and_holdout_policy_diffs() -> None:
data = json.loads(AUDIT.read_text(encoding="utf-8"))
items = {item["path"]: item for item in data["items"]}
assert "scripts/day_level_holdout_validator.py" in items
assert "commercial_retains_observational_validation_mode_for_product_intake" in items[
"scripts/day_level_holdout_validator.py"
]["notes"]
assert "scripts/vedastro_identity_archive.py" in items
assert "research_has_stricter_self_host_truth_upgrade_gate" in items[
"scripts/vedastro_identity_archive.py"
]["notes"]
tests/test_day_level_holdout_pilot_source_queue.py
+33
View File
@@ -0,0 +1,33 @@
from __future__ import annotations
import json
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
QUEUE = ROOT / "references" / "real_case_calibration" / "day_level_holdout_v3_pilot_source_queue_2026_07_19.json"
def test_pilot_source_queue_has_three_public_subjects_but_no_truth_upgrade() -> None:
data = json.loads(QUEUE.read_text(encoding="utf-8"))
assert data["status"] == "candidate_requires_adjudication"
assert data["production_tuning_allowed"] is False
assert data["candidate_count"] == 3
assert "not holdout annotations" in data["truth_boundary"]
assert "independent adjudicator" in data["required_next_step"]
subjects = {subject["subject_id"]: subject for subject in data["subjects"]}
assert set(subjects) == {"steve_jobs", "barack_obama", "albert_einstein"}
for subject in subjects.values():
assert subject["candidate_positive_event"]["status"] == "candidate_requires_adjudication"
assert len(subject["candidate_negative_windows"]) == 2
assert all(window["status"] == "candidate_requires_adjudication" for window in subject["candidate_negative_windows"])
assert all(url.startswith("https://") for url in subject["candidate_positive_event"]["source_urls"])
def test_pilot_source_queue_is_not_misrepresented_as_day_level_holdout_manifest() -> None:
data = json.loads(QUEUE.read_text(encoding="utf-8"))
assert "annotations" not in data
assert data["scope"] == "day_level_holdout_v3_pilot_source_queue"
assert data["status"] != "ready_for_blind_replay"
tests/test_day_level_holdout_pilot_source_queue_report.py
+40
View File
@@ -0,0 +1,40 @@
from __future__ import annotations
from pathlib import Path
from scripts.day_level_holdout_pilot_source_queue_report import build_report
ROOT = Path(__file__).resolve().parents[1]
QUEUE = ROOT / "references/real_case_calibration/day_level_holdout_v3_pilot_source_queue_2026_07_19.json"
def test_pilot_source_queue_expands_to_nine_unscored_windows() -> None:
report = build_report(QUEUE)
assert report["scope"] == "day_level_holdout_pilot_source_queue_report"
assert report["status"] == "awaiting_independent_human_labels"
assert report["production_tuning_allowed"] is False
assert report["blind_scoring_allowed"] is False
assert report["summary"] == {
"subject_count": 3,
"window_count": 9,
"positive_candidate_count": 3,
"negative_candidate_count": 6,
"ready_annotation_count": 0,
"blocked_annotation_count": 9,
}
def test_pilot_source_queue_windows_keep_public_source_and_boundary() -> None:
report = build_report(QUEUE)
for window in report["windows"]:
assert window["claim_status"] == "candidate_not_label"
assert window["required_next_step"] == "independent_human_adjudication"
assert window["scoring_status"] == "blocked_not_frozen"
if window["label_candidate"] == "target_event":
assert window["source_urls"]
assert all(url.startswith("https://") for url in window["source_urls"])
else:
assert window["event_absent_assertion"]
tests/test_skill_truth_boundary_text.py
+19
View File
@@ -0,0 +1,19 @@
from __future__ import annotations
from pathlib import Path
ROOT = Path(__file__).resolve().parents[1]
SKILL = ROOT / "SKILL.md"
def test_skill_text_requires_effective_capability_view_before_claims() -> None:
text = SKILL.read_text(encoding="utf-8")
assert "references/oracle/effective_skill_capability_view_2026_07_19.json" in text
assert "references/oracle/skill_truth_overlay_2026_07_19.json" in text
assert "不得直接把 `references/technique_registry.json` 的旧 `covered` 当作完整闭环" in text
def test_skill_text_does_not_overclaim_kp_muhurta_sahams() -> None:
text = SKILL.read_text(encoding="utf-8")
assert "KP/Muhurta/Gochara/Sahams/Sphuta/Tajika等高阶分支必须按 skill truth overlay 降级使用" in text
assert "KP系统 | reference-only / partial" in text
tests/test_technique_promotion_audit_vimsopaka_avastha.py
+42
View File
@@ -0,0 +1,42 @@
from __future__ import annotations
import json
from pathlib import Path
from scripts.technique_promotion_audit_vimsopaka_avastha import build_audit
ROOT = Path(__file__).resolve().parents[1]
def test_vimsopaka_avastha_audit_corrects_call_status() -> None:
audit = build_audit(ROOT)
assert audit["scope"] == "technique_promotion_audit_vimsopaka_avastha"
assert audit["truth_policy"] == "runtime_presence_not_oracle_closure"
assert audit["production_tuning_allowed"] is False
statuses = {item["technique_id"]: item["current_call_status"] for item in audit["items"]}
assert statuses["vimsopaka_bala"] == "formally_called_in_full_reading"
assert statuses["avastha_states"] == "formally_called_via_deep_varga_avastha_endpoint"
def test_vimsopaka_avastha_audit_records_entrypoints_and_boundaries() -> None:
audit = build_audit(ROOT)
for item in audit["items"]:
assert item["main_artifacts"]
assert item["entrypoints"]
assert item["next_action"] in {
"add_formula_source_and_oracle_packet",
"add_display_contract_and_source_oracle_packet",
}
assert item["claim_boundary"]
assert item["reuse_decision"] == "do_not_duplicate_runtime"
def test_vimsopaka_avastha_audit_artifact_exists() -> None:
artifact = ROOT / "references/oracle/technique_promotion_audit_vimsopaka_avastha_2026_07_19.json"
data = json.loads(artifact.read_text(encoding="utf-8"))
assert data["summary"] == {
"items_checked": 2,
"formally_called_count": 2,
"duplicate_runtime_needed": 0,
}