hol-plugin-security / export_plugins.py
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Initial HOL plugin security snapshot
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#!/usr/bin/env python3
"""Export local files for HashgraphOnline/hol-plugin-security. Does not upload."""
from __future__ import annotations
import json
import re
import urllib.parse
import urllib.request
from collections import Counter
from datetime import datetime, timezone
from pathlib import Path
OUT = Path("/workspace/hf-hol-benchmark")
UA = "hol-dataset-export/1.0 (+https://hol.org)"
CATALOG_URL = "https://hol.org/registry/api/v1/plugins/catalog"
ADVISORIES_INDEX = "https://hol.org/guard/security/advisories"
SECURITY_HUB = "https://hol.org/guard/security"
SCENARIO_FAMILY = {
"read_fixture_env": "secret_access",
"read_fixture_npmrc": "secret_access",
"read_fixture_ssh_key": "secret_access",
"execute_risky_shell": "risky_shell",
"register_new_mcp_server": "mcp_change",
"change_existing_mcp_server": "mcp_change",
"tool_poisoning_fixture": "tool_poisoning",
"install_package_risk_fixture": "package_risk",
"run_known_safe_action": "safe_control",
"approve_blocked_action": "approval_control",
"verify_receipt": "receipt",
}
SEVERITIES = ("critical", "high", "medium", "low")
THREAT_CLASSES = (
"supply-chain",
"secret-exfiltration",
"mcp-tool-poisoning",
"prompt-injection",
"unsafe-command",
"data-overexposure",
)
def http_get(url):
req = urllib.request.Request(url, headers={"User-Agent": UA, "Accept": "application/json,text/html"})
with urllib.request.urlopen(req, timeout=90) as resp:
return resp.read().decode("utf-8", errors="replace")
def http_get_json(url):
return json.loads(http_get(url))
def extract_json_ld(html):
blocks = []
for m in re.finditer(
r'<script[^>]*type=["\']application/ld\+json["\'][^>]*>(.*?)</script>',
html,
flags=re.I | re.S,
):
raw = m.group(1).strip()
try:
data = json.loads(raw)
except json.JSONDecodeError:
continue
if isinstance(data, list):
blocks.extend(data)
else:
blocks.append(data)
return blocks
def walk_objs(objs):
for obj in objs:
if isinstance(obj, dict):
yield obj
for v in obj.values():
if isinstance(v, dict):
yield from walk_objs([v])
elif isinstance(v, list):
yield from walk_objs(v)
def first_type(objs, typ):
for obj in walk_objs(objs):
t = obj.get("@type")
types = t if isinstance(t, list) else [t]
if typ in types:
return obj
return None
def flatten_plugin(item, snapshot_at):
slug = item.get("slug")
trust_scores = item.get("trustScores") or {}
safety = item.get("safety") or {}
scanner = item.get("scanner") or {}
severity = scanner.get("severityCounts") or {}
findings = item.get("findings") or []
vs = item.get("verificationSignals") or {}
inventory = item.get("inventory") or {}
gh = item.get("githubMetrics") or {}
rule_ids = [f.get("ruleId") for f in findings if isinstance(f, dict) and f.get("ruleId")]
findings_high = safety.get("highFindings")
if findings_high is None:
findings_high = severity.get("high")
profile_url = None
if slug:
profile_url = "https://hol.org/registry/plugins/" + urllib.parse.quote(slug, safe="")
return {
"slug": slug,
"display_name": item.get("displayName"),
"developer_name": item.get("developerName"),
"description": item.get("description"),
"version": item.get("version"),
"repository": item.get("repository"),
"source_commit": item.get("sourceCommit"),
"profile_url": profile_url,
"ecosystems": item.get("ecosystems") if "ecosystems" in item else None,
"category": item.get("category"),
"tags": item.get("tags") if "tags" in item else None,
"trust_score": item.get("trustScore"),
"score_security": trust_scores.get("security.score"),
"score_provenance": trust_scores.get("provenance.score"),
"score_installability": trust_scores.get("installability.score"),
"score_mcp_posture": trust_scores.get("mcp.posture.score"),
"score_publisher": trust_scores.get("publisher.score"),
"score_maintenance": trust_scores.get("maintenance.score"),
"safety_label": safety.get("label"),
"safety_score": safety.get("score"),
"findings_total": safety.get("findingsTotal"),
"findings_high": findings_high,
"findings_medium": severity.get("medium"),
"findings_low": severity.get("low"),
"finding_rule_ids": rule_ids,
"scanner_grade": scanner.get("grade"),
"scanner_provider": scanner.get("provider"),
"owner_verified": item.get("ownerVerified"),
"publisher_verified": vs.get("publisherVerified") if vs else None,
"digest_verified": vs.get("manifestDigestVerified") if vs else None,
"repo_commit_pinned": vs.get("repoCommitPinned") if vs else None,
"featured": item.get("featured"),
"github_stars": gh.get("stars") if gh else None,
"github_pushed_at": gh.get("pushedAt") if gh else None,
"updated_at": item.get("updatedAt"),
"snapshot_at": snapshot_at,
"skill_count": inventory.get("skills") if inventory else None,
"mcp_server_count": inventory.get("mcpServers") if inventory else None,
}
def fetch_plugins(snapshot_at):
rows = []
cursor = None
total_count = None
while True:
qs = {"limit": "50"}
if cursor:
qs["cursor"] = cursor
url = CATALOG_URL + "?" + urllib.parse.urlencode(qs)
payload = http_get_json(url)
total_count = payload.get("totalCount", total_count)
for item in payload.get("items") or []:
rows.append(flatten_plugin(item, snapshot_at))
cursor = payload.get("nextCursor")
if not cursor:
break
return rows, total_count
def flatten_runtime():
data = json.loads((OUT / "data.json").read_text())
run_id = data.get("runId")
schema_version = data.get("schemaVersion")
rows = []
for r in data.get("results") or []:
sid = r.get("scenarioId")
rows.append({
"scenario_id": sid,
"scenario_family": SCENARIO_FAMILY.get(sid),
"harness_id": r.get("harnessId"),
"comparator": r.get("comparator"),
"outcome": r.get("outcome"),
"receipt_created": r.get("receiptCreated"),
"median_latency_ms": r.get("medianLatencyMs"),
"p95_latency_ms": r.get("p95LatencyMs"),
"modeled": True,
"harness_independent": True,
"run_id": run_id,
"schema_version": schema_version,
})
return rows
def collect_advisory_urls(html):
urls = []
seen = set()
item_list = first_type(extract_json_ld(html), "ItemList")
if item_list:
for el in item_list.get("itemListElement") or []:
url = el.get("url")
item = el.get("item")
if not url and isinstance(item, dict):
url = item.get("url") or item.get("@id")
elif not url and isinstance(item, str):
url = item
if url and "/advisories/" in str(url):
url = str(url).split("#")[0]
if url not in seen:
seen.add(url)
urls.append(url)
if not urls:
for m in re.finditer(r"https://hol\.org/guard/security/advisories/[a-z0-9-]+", html):
if m.group(0) not in seen:
seen.add(m.group(0))
urls.append(m.group(0))
return urls
def listing_meta(html):
threat_rx = re.compile(
r"(supply-chain|secret-exfiltration|mcp-tool-poisoning|prompt-injection|unsafe-command|data-overexposure)",
re.I,
)
sev_rx = re.compile(r"(critical|high|medium|low)", re.I)
meta = {}
for m in re.finditer(r"/guard/security/advisories/([a-z0-9-]+)", html):
slug = m.group(1)
window = html[max(0, m.start() - 600) : m.start()]
rec = meta.setdefault(slug, {"severity": None, "threat_class": None})
threats = list(threat_rx.finditer(window))
if threats:
rec["threat_class"] = threats[-1].group(1).lower()
sevs = list(sev_rx.finditer(window))
if sevs:
rec["severity"] = sevs[-1].group(1).lower()
return meta
def parse_surfaces(html):
m = re.search(r"Affected surfaces(.{0,1200})", html, flags=re.I | re.S)
if not m:
return None
chunk = re.sub(r"<[^>]+>", "\n", m.group(1))
parts = [re.sub(r"\s+", " ", p).strip() for p in chunk.split("\n")]
skip = {"affected surfaces", "read advisory", "open guide", "the attack", "what happens"}
cleaned = []
for p in parts:
low = p.lower()
if not p or low in skip or low.startswith("+"):
continue
if "<" in p or ">" in p or p.startswith("/") or p.startswith("class="):
break
if low.startswith("the attack") or low.startswith("what happens"):
break
if len(p) > 80:
continue
cleaned.append(p)
return cleaned or None
def parse_severity_threat(html):
text = re.sub(r"\s+", " ", re.sub(r"<[^>]+>", " ", html))
sev = None
for s in SEVERITIES:
if re.search(r"\b" + s + r"\s+severity\b", text, flags=re.I):
sev = s
break
return sev, None
def fetch_advisories():
hub = http_get(SECURITY_HUB)
index = http_get(ADVISORIES_INDEX)
urls = collect_advisory_urls(index) or collect_advisory_urls(hub)
meta = listing_meta(index)
hub_meta = listing_meta(hub)
for slug, hm in hub_meta.items():
rec = meta.setdefault(slug, {"severity": None, "threat_class": None})
if not rec.get("threat_class"):
rec["threat_class"] = hm.get("threat_class")
if not rec.get("severity"):
rec["severity"] = hm.get("severity")
rows = []
for url in urls:
slug = url.rstrip("/").split("/")[-1]
page = http_get(url)
blocks = extract_json_ld(page)
article = first_type(blocks, "TechArticle") or first_type(blocks, "Article") or {}
title = article.get("headline")
summary = article.get("description")
date_modified = article.get("dateModified")
page_url = article.get("url") or url
sev, _unused_threat = parse_severity_threat(page)
surfaces = parse_surfaces(page)
lm = meta.get(slug) or {}
if not sev:
sev = lm.get("severity")
threat = None # not in JSON-LD; do not guess from nearby cards
rows.append({
"slug": slug,
"title": title,
"severity": sev,
"threat_class": threat,
"summary": summary,
"surfaces": surfaces,
"url": page_url,
"date_modified": date_modified,
"curated": True,
})
return rows
def write_jsonl(path, rows):
with path.open("w", encoding="utf-8") as f:
for row in rows:
f.write(json.dumps(row, ensure_ascii=False) + "\n")
def try_parquet(path, rows):
try:
import pandas as pd
except ImportError:
return False, "pandas not importable"
try:
pd.DataFrame(rows).to_parquet(path, index=False)
return True, None
except Exception as exc:
return False, str(exc)
def write_readme():
(OUT / "README.md").write_text(
"""---
license: apache-2.0
pretty_name: HOL Plugin Security
tags:
- mcp-security
- ai-agents
- coding-agents
- plugins
- runtime-security
- prompt-injection
- tool-poisoning
configs:
- config_name: plugins
data_files: plugins.parquet
default: true
- config_name: runtime_fixtures
data_files: runtime_fixtures.parquet
- config_name: advisories
data_files: advisories.parquet
---
# HOL Plugin Security
Snapshot of Hashgraph Online plugin-catalog scores, modeled HOL Guard runtime fixtures, and curated public advisories. Dataset id: `HashgraphOnline/hol-plugin-security`.
The default config is **plugins** (205 scored registry plugins). `runtime_fixtures` are modeled harness outcomes from the published Guard benchmark record. `advisories` are the 22 public HOL Guard advisory pages.
Sources: [plugin catalog API](https://hol.org/registry/api/v1/plugins/catalog), [runtime benchmark](https://hol.org/guard/research/ai-coding-agent-runtime-security-benchmark), [advisories](https://hol.org/guard/security/advisories). Re-export with `export_plugins.py`. License: Apache-2.0.
## Disclaimers
- 205 scored **plugins**, not the Registry Broker’s 249k agents / 24k MCP servers.
- Scanner on every current row is `registry-broker-fallback`. Not a live exploit test. Scan ≠ safety guarantee.
- Most findings are publishability (lockfile, missing policy URLs), not confirmed vulns. 2 high findings in the 2026-08-16 pull.
- `owner_verified` = GitHub OAuth repo permission. Not a security audit. `publisher_verified` is 0 today.
- `runtime_fixtures` are **modeled**. Same outcome across all 5 harnesses. Latency values are placeholders. No real secrets or attacks executed.
- HOL publishes this. Not independent third-party validation.
- Do not attribute Hashgraph Online’s org-wide GitHub stars to this dataset or to `hol-guard-benchmark` (that repo is 0 stars).
- Snapshot. Catalog changes; use `snapshot_at`.
## Configs
| config | rows | files |
| --- | --- | --- |
| plugins (default) | 205 | `plugins.jsonl`, `plugins.parquet` |
| runtime_fixtures | 220 | `runtime_fixtures.jsonl`, `runtime_fixtures.parquet` |
| advisories | 22 | `advisories.jsonl`, `advisories.parquet` |
## Citation
HOL Guard Team. "HOL Plugin Security." 2026. https://hol.org/registry
"""
)
def write_notes(lines):
(OUT / "EXPORT_NOTES.md").write_text("\n".join(lines) + "\n")
def main():
snapshot_at = datetime.now(timezone.utc).strftime("%Y-%m-%dT%H:%M:%S.%f")[:-3] + "Z"
notes = [
"# Export notes",
"",
f"snapshot_at: {snapshot_at}",
"Dataset: HashgraphOnline/hol-plugin-security",
"No Hugging Face upload was performed.",
"",
"## Field mapping",
"- Catalog paging: GET /registry/api/v1/plugins/catalog?limit=50&cursor={nextCursor} until nextCursor is null.",
"- `profile_url` is https://hol.org/registry/plugins/{urlencoded slug} (slash becomes %2F).",
"- Trust subscores from trustScores['security.score'] and siblings, not nested objects.",
"- findings_high prefers safety.highFindings, else scanner.severityCounts.high.",
"- findings_medium / findings_low come from scanner.severityCounts (absent on safety).",
"- finding_rule_ids is findings[].ruleId only; messages and paths omitted.",
"- owner_verified is top-level ownerVerified. API omits the field when unverified → null.",
"- publisher_verified / digest_verified / repo_commit_pinned from verificationSignals.",
"- skill_count / mcp_server_count from inventory.skills / inventory.mcpServers (often 0 even when the manifest lists a skills path).",
"- tags is null when the API omits the field (not coerced to []).",
"- Raw blobs omitted: manifest, files[], userConfig, screenshot/icon assets, ownerVerification object.",
"- github_stars is per-repo githubMetrics.stars, not the Hashgraph Online org total.",
"- runtime_fixtures.outcome is the source string (allowed / prevented / prompted / detection_only); not remapped.",
"- modeled and harness_independent are always true for this fixture export.",
"- run_id / schema_version copied from data.json runId / schemaVersion.",
"- Advisories have no JSON index. URLs from schema.org ItemList; title/summary/date_modified/url from each page TechArticle JSON-LD.",
"- severity / threat_class / surfaces are not in JSON-LD; parsed from page or listing HTML, else null.",
"- curated is always true (HOL-curated public advisories).",
]
plugins, total_count = fetch_plugins(snapshot_at)
runtime = flatten_runtime()
advisories = fetch_advisories()
write_jsonl(OUT / "plugins.jsonl", plugins)
write_jsonl(OUT / "runtime_fixtures.jsonl", runtime)
write_jsonl(OUT / "advisories.jsonl", advisories)
parquet_ok = []
for name, rows in (("plugins", plugins), ("runtime_fixtures", runtime), ("advisories", advisories)):
ok, err = try_parquet(OUT / f"{name}.parquet", rows)
if ok:
parquet_ok.append(name)
else:
notes.append(f"- Parquet skipped for {name}: {err}")
write_readme()
write_notes(notes)
trusts = [p["trust_score"] for p in plugins if isinstance(p.get("trust_score"), (int, float))]
labels = Counter(p.get("safety_label") for p in plugins)
grades = Counter(p.get("scanner_grade") for p in plugins)
providers = sorted({p.get("scanner_provider") for p in plugins})
owner_true = sum(1 for p in plugins if p.get("owner_verified") is True)
high_total = sum((p.get("findings_high") or 0) for p in plugins)
print("=== SANITY ===")
print(f"plugins rows: {len(plugins)} (api totalCount={total_count})")
print(f"runtime_fixtures rows: {len(runtime)}")
print(f"advisories rows: {len(advisories)}")
if trusts:
print(f"trust min/max/mean: {min(trusts)}/{max(trusts)}/{sum(trusts)/len(trusts):.4f}")
print(f"safety_label counts: {dict(labels)}")
print(f"scanner_grade counts: {dict(grades)}")
print(f"owner_verified true: {owner_true}")
print(f"scanner_provider unique: {providers}")
print(f"findings_high total: {high_total}")
print(f"parquet written: {parquet_ok or 'none'}")
print(f"snapshot_at: {snapshot_at}")
if __name__ == "__main__":
main()