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import os
import re
import subprocess
import sys
import tempfile
import unittest
from pathlib import Path
REPO = Path(__file__).resolve().parents[1]
SKILL = REPO / "skills" / "speak-human"
CHECK = SKILL / "scripts" / "check.py"
RULES = SKILL / "references" / "core-rules.json"
EVALS = REPO / "evals" / "trigger_eval.jsonl"
PLUGIN = REPO / ".claude-plugin" / "plugin.json"
VERSION = "2.1.1"
PACKAGE_FILES = {
"LICENSE.txt",
"SKILL.md",
"SKILL.zh-CN.md",
"agents/openai.yaml",
"assets/review-output-template.md",
"references/core-method.md",
"references/communication-modes.md",
"references/language-signals.md",
"references/social-media.md",
"references/core-rules.json",
"references/voice-profile.schema.json",
"scripts/check.py",
}
MODES = {
"general",
"status_update",
"technical_explanation",
"decision_recommendation",
"professional_document",
"readme_release",
"resume_portfolio",
"conversation_reply",
}
PRIVATE_PLACEHOLDERS = re.compile(
r"\[(?:INTERNAL_EMPLOYEE|PRIVATE_CORPUS|LOCAL_USERNAME)\]"
)
SOCIAL_CONTEXT = re.compile(
r"社媒|小红书|微博|抖音|social media|X post|Reddit|Instagram|TikTok",
re.IGNORECASE,
)
POSITIVE_ACTION = re.compile(
r"\$speak-human|speak-human|改写|重写|润色|改得|改成|压短|整理成|帮我回复|"
r"写得.{0,10}(?:清楚|自然|像人)|解释.{0,20}(?:给|让)|"
r"rewrite|review|make .{0,50}(?:clearer|easier)|turn .{0,50}into",
re.IGNORECASE,
)
HUMAN_WRITING = re.compile(
r"进度|状态更新|汇报|解释|OAuth|技术|decision memo|recommendation|"
r"leadership|客户|实施方案|email|vendor|README|release note|"
r"简历|portfolio|同事|消息|公告|小红书|项目复盘|报告|文档",
re.IGNORECASE,
)
EXPLICIT_NON_TRIGGER = re.compile(
r"不要改写|不需要润色|逐字翻译|do not draft|do not edit|"
r"只报告|只给我|source-code|off-by-one|CSV|JSON|柱状图|头像|"
r"重复 PDF|发布时间|不做风格改写",
re.IGNORECASE,
)
def package_files() -> set[str]:
return {
path.relative_to(SKILL).as_posix()
for path in SKILL.rglob("*")
if path.is_file() and "__pycache__" not in path.parts
}
def parse_frontmatter(path: Path) -> dict[str, str]:
text = path.read_text(encoding="utf-8")
match = re.match(r"(?s)^---\n(.*?)\n---\n", text)
if not match:
raise AssertionError(f"missing frontmatter: {path}")
fields = {}
for line in match.group(1).splitlines():
if ":" in line:
key, value = line.split(":", 1)
fields[key.strip()] = value.strip()
return fields
def run_check(*args: str) -> subprocess.CompletedProcess[str]:
return subprocess.run(
[sys.executable, str(CHECK), *args],
text=True,
encoding="utf-8",
env={**os.environ, "PYTHONIOENCODING": "utf-8"},
capture_output=True,
check=False,
)
def finding_kinds(result: subprocess.CompletedProcess[str]) -> set[str]:
payload = json.loads(result.stdout)
return {row["kind"] for row in payload["findings"]}
def reference_trigger(prompt: str) -> str:
if "$speak-human" in prompt or "speak-human" in prompt:
return "TRIGGER"
if EXPLICIT_NON_TRIGGER.search(prompt):
return "NO_TRIGGER"
return (
"TRIGGER"
if POSITIVE_ACTION.search(prompt) and HUMAN_WRITING.search(prompt)
else "NO_TRIGGER"
)
class SpeakHumanContractTests(unittest.TestCase):
def test_package_layout_and_frontmatter(self):
self.assertEqual(package_files(), PACKAGE_FILES)
for filename in ("SKILL.md", "SKILL.zh-CN.md"):
fields = parse_frontmatter(SKILL / filename)
self.assertEqual(set(fields), {"name", "description"})
self.assertEqual(fields["name"], "speak-human")
def test_version_and_core_mode_contract(self):
payload = json.loads(RULES.read_text(encoding="utf-8"))
plugin = json.loads(PLUGIN.read_text(encoding="utf-8"))
self.assertEqual(payload["standard_version"], VERSION)
self.assertEqual(payload["package_version"], VERSION)
self.assertEqual(plugin["version"], VERSION)
self.assertEqual(plugin["name"], "speak-human")
self.assertIn("human-facing communication", plugin["description"].lower())
self.assertNotIn("public copy", plugin["description"].lower())
self.assertEqual(set(payload["modes"]), MODES)
self.assertNotIn("scenes", payload)
def test_social_media_is_an_optional_adapter(self):
payload = json.loads(RULES.read_text(encoding="utf-8"))
self.assertTrue(
all(rule["domain"] == "GENERAL_CORE" for rule in payload["rules"])
)
self.assertNotIn("social_media", payload["modes"])
self.assertTrue((SKILL / "references" / "social-media.md").exists())
helper = CHECK.read_text(encoding="utf-8")
for token in ("X 已爆", "小红书", "information_gap_diagnostic"):
self.assertNotIn(token, helper)
def test_openai_metadata_describes_general_communication(self):
metadata = (SKILL / "agents" / "openai.yaml").read_text(encoding="utf-8")
lines = [line.rstrip() for line in metadata.splitlines() if line.strip()]
self.assertEqual(lines[0], "interface:")
self.assertEqual(
{line.strip().split(":", 1)[0] for line in lines[1:]},
{"display_name", "short_description", "brand_color", "default_prompt"},
)
self.assertTrue(all(line.startswith(" ") for line in lines[1:]))
self.assertIn(' display_name: "Speak Human"', lines)
self.assertIn("$speak-human", metadata)
self.assertRegex(metadata.lower(), r"communication|沟通")
def test_bilingual_skill_keeps_core_contract(self):
english = (SKILL / "SKILL.md").read_text(encoding="utf-8")
chinese = (SKILL / "SKILL.zh-CN.md").read_text(encoding="utf-8")
for token in (
"status updates",
"explanations",
"recommendations",
"emails",
"README",
"resumes",
"replies",
"Social media is an adapter, not the default.",
"private | internal | external | public",
"scripts/check.py",
VERSION,
"silent obligations",
"Do not manufacture a lesson",
):
self.assertIn(token, english)
for token in (
"进度汇报",
"解释说明",
"建议与决策",
"邮件",
"README",
"简历",
"回复",
"社媒只是适配层,不是默认场景。",
"private | internal | external | public",
"scripts/check.py",
VERSION,
"内部要遵守的条件",
"不要再强行补教训",
):
self.assertIn(token, chinese)
def test_all_public_version_surfaces_match(self):
surfaces = {
".claude-plugin/plugin.json": PLUGIN.read_text(encoding="utf-8"),
"CHANGELOG.md": (REPO / "CHANGELOG.md").read_text(encoding="utf-8"),
"README.md": (REPO / "README.md").read_text(encoding="utf-8"),
"README.zh-CN.md": (REPO / "README.zh-CN.md").read_text(
encoding="utf-8"
),
"skills/speak-human/SKILL.md": (SKILL / "SKILL.md").read_text(
encoding="utf-8"
),
"skills/speak-human/SKILL.zh-CN.md": (
SKILL / "SKILL.zh-CN.md"
).read_text(encoding="utf-8"),
"skills/speak-human/references/core-rules.json": RULES.read_text(
encoding="utf-8"
),
}
for name, text in surfaces.items():
self.assertIn(VERSION, text, name)
def test_readme_relative_links_resolve(self):
for name in ("README.md", "README.zh-CN.md", "中文用户看这里.md"):
text = (REPO / name).read_text(encoding="utf-8")
for target in re.findall(r"\]\(([^)]+)\)", text):
if target.startswith(("http://", "https://", "#")):
continue
path_only = target.split("#", 1)[0]
self.assertTrue((REPO / path_only).exists(), f"{name}: {target}")
def test_repository_contains_no_private_material(self):
old_names = ("human" + "-voice-zh", "Human" + " Voice ZH")
hits = []
for path in REPO.rglob("*"):
if (
not path.is_file()
or ".git" in path.parts
or "__pycache__" in path.parts
or "tests" in path.parts
or path.name in {"LICENSE", "LICENSE.txt"}
):
continue
text = path.read_text(encoding="utf-8")
for old_name in old_names:
if old_name in text:
hits.append((path.relative_to(REPO).as_posix(), "old_name"))
if PRIVATE_PLACEHOLDERS.search(text):
hits.append(
(path.relative_to(REPO).as_posix(), "private_placeholder")
)
self.assertEqual(hits, [])
def test_check_local_paths_follow_exposure(self):
text = r"Build log: C:\Users\someone\project\output.txt"
for exposure in ("external", "public"):
result = run_check("--exposure", exposure, "--text", text)
self.assertEqual(result.returncode, 2, result.stderr)
self.assertIn("local_path", finding_kinds(result))
internal = run_check("--exposure", "internal", "--text", text)
self.assertEqual(internal.returncode, 0, internal.stderr)
payload = json.loads(internal.stdout)
self.assertEqual(payload["exposure"], "internal")
self.assertEqual(payload["findings"], [])
def test_check_unc_paths_follow_exposure(self):
text = r"Build log: \\corp-server\private\draft.md"
for exposure in ("external", "public"):
result = run_check("--exposure", exposure, "--text", text)
self.assertEqual(result.returncode, 2, result.stderr)
self.assertIn("unc_path", finding_kinds(result))
self.assertTrue(
any(
row["kind"] == "unc_path" and row["severity"] == "P0"
for row in json.loads(result.stdout)["findings"]
)
)
for exposure in ("private", "internal"):
result = run_check("--exposure", exposure, "--text", text)
self.assertEqual(result.returncode, 0, result.stderr)
self.assertEqual(json.loads(result.stdout)["findings"], [])
def test_check_credentials_are_always_flagged(self):
samples = (
('api_token="abcdefghijk"', "credential_assignment", "abcdefghijk"),
("api_token='zyxwvutsrqp'", "credential_assignment", "zyxwvutsrqp"),
(
"OPENAI_API_KEY='sk-proj_abcdefghijklmnopqrstuvwxyz123456'",
"credential_assignment",
"sk-proj_abcdefghijklmnopqrstuvwxyz123456",
),
(
"refresh_token=rt_abcdefghijklmnopqrstuvwxyz123456",
"credential_assignment",
"rt_abcdefghijklmnopqrstuvwxyz123456",
),
(
"password='Tr0ub4dor!42'",
"credential_assignment",
"Tr0ub4dor!42",
),
(
"Authorization: Bearer ghp_abcdefghijklmnopqrstuvwxyz123456",
"credential_bearer",
"ghp_abcdefghijklmnopqrstuvwxyz123456",
),
)
for text, expected_kind, secret in samples:
for exposure in ("private", "internal", "external", "public"):
result = run_check("--exposure", exposure, "--text", text)
self.assertEqual(result.returncode, 2, result.stderr)
self.assertIn(expected_kind, finding_kinds(result))
self.assertNotIn(secret, result.stdout)
self.assertTrue(
any(
row["kind"] == expected_kind
and row["severity"] == "P0"
and row["preview"].endswith("[REDACTED]")
for row in json.loads(result.stdout)["findings"]
)
)
def test_check_credential_discussion_is_not_flagged(self):
samples = (
"The API token field accepts at least eight characters.",
"Set the Authorization header to use the Bearer scheme.",
"Never paste a password or secret into a public post.",
"token: authentication",
)
for text in samples:
result = run_check("--exposure", "public", "--text", text)
self.assertEqual(result.returncode, 0, result.stderr)
self.assertEqual(json.loads(result.stdout)["findings"], [])
def test_check_internal_markers_follow_exposure(self):
text = "【待校正】发布完成"
for exposure in ("external", "public"):
result = run_check("--exposure", exposure, "--text", text)
self.assertEqual(result.returncode, 2, result.stderr)
self.assertIn("internal_marker", finding_kinds(result))
internal = run_check("--exposure", "internal", "--text", text)
self.assertEqual(internal.returncode, 0, internal.stderr)
self.assertEqual(json.loads(internal.stdout)["findings"], [])
def test_check_file_input_and_voice_profile(self):
with tempfile.TemporaryDirectory() as temp_dir:
root = Path(temp_dir)
source = root / "draft.txt"
source.write_text("No sensitive material here.", encoding="utf-8")
profile = root / "profile.json"
profile.write_text(
json.dumps(
{
"profile_version": "1.0.0",
"languages": ["en"],
"global_prefer": ["lead with the conclusion"],
}
),
encoding="utf-8",
)
result = run_check(
"--exposure",
"internal",
"--file",
str(source),
"--voice-profile",
str(profile),
)
self.assertEqual(result.returncode, 0, result.stderr)
payload = json.loads(result.stdout)
self.assertEqual(payload["exposure"], "internal")
self.assertTrue(payload["voice_profile_loaded"])
self.assertEqual(payload["findings"], [])
invalid = root / "invalid-profile.json"
invalid.write_text(
json.dumps(
{
"profile_version": "1.0.0",
"languages": ["en"],
"mode_preferences": {
"status_update": {"prefer": "not-a-list"}
},
}
),
encoding="utf-8",
)
rejected = run_check(
"--exposure",
"internal",
"--text",
"No sensitive material here.",
"--voice-profile",
str(invalid),
)
self.assertEqual(rejected.returncode, 1)
self.assertIn("must be a string list", rejected.stderr)
duplicate_languages = root / "duplicate-languages.json"
duplicate_languages.write_text(
json.dumps(
{
"profile_version": "1.0.0",
"languages": ["en", "en"],
}
),
encoding="utf-8",
)
rejected_duplicate = run_check(
"--exposure",
"internal",
"--text",
"No sensitive material here.",
"--voice-profile",
str(duplicate_languages),
)
self.assertEqual(rejected_duplicate.returncode, 1)
self.assertIn("must not contain duplicates", rejected_duplicate.stderr)
def test_trigger_and_non_trigger_fixtures(self):
rows = [
json.loads(line)
for line in EVALS.read_text(encoding="utf-8").splitlines()
if line.strip()
]
self.assertEqual(len(rows), 24)
self.assertEqual(len({row["id"] for row in rows}), 24)
self.assertEqual(
sum(row["expected"] == "TRIGGER" for row in rows),
12,
)
self.assertEqual(
sum(row["expected"] == "NO_TRIGGER" for row in rows),
12,
)
positive_rows = [row for row in rows if row["expected"] == "TRIGGER"]
self.assertLessEqual(
sum(bool(SOCIAL_CONTEXT.search(row["prompt"])) for row in positive_rows),
3,
"social media must remain an optional adapter, not the core trigger surface",
)
for row in rows:
self.assertEqual(
reference_trigger(row["prompt"]),
row["expected"],
row["id"],
)
def test_published_package_contains_no_private_placeholders(self):
hits = []
for path in SKILL.rglob("*"):
if not path.is_file() or path.name == "LICENSE.txt":
continue
text = path.read_text(encoding="utf-8")
if PRIVATE_PLACEHOLDERS.search(text):
hits.append(path.relative_to(SKILL).as_posix())
self.assertEqual(hits, [])
if __name__ == "__main__":
unittest.main()
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