Public recordExcellent
Software health reportschema 0.27.0 · metrics 2.3.1 · 2026-07-27 17:07 UTC
OpenByteInc / QuantDinger
AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
OpenByteInc/QuantDinger holds a health index of 87 out of 100, placing it in the Excellent band. It scores highest on Community & Adoption (94/100) and lowest on AI Readiness (41/100). It was last updated 3 days ago. 2 contributors account for most of its recent work.
87
overall / 100Software health index
Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.
87
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
Score profile
Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.
The weighted overall 73 is calibrated to 87 on the published index scale (record calibration 2026-08-02).
Ownership
Open Byte IncOrganization
11 followers4 public repossince Jul 2026
This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.
Package ecosystems
| Registry | Package | Version | Downloads / mo | Versions | Last publish | Tags |
|---|---|---|---|---|---|---|
| PyPI | quantdinger-mcppoints to another repo — not scored | 0.4.0 | - | 4 | 9 days ago | mcpmodel-context-protocolquantdingerai-agenttradingbacktestquantcursorclaudecodexopenclawnanobot |
Metrics by category
Vitality
Is the project alive — is code being written and are releases shipping?
90
Development activity
84Excellent
How it's scored
| 36/36 | Push recency — last push 3 days ago |
| 20.1/36 | Commit cadence — 29/52 weeks with commits |
| 18/18 | Commit volume — 459 commits in the last year |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Inputs used
| commits_last_year | 459 |
| human_commit_share | 1 |
| days_since_last_push | 3 |
| active_weeks_last_year | 29 |
Release discipline
100Exceptional
How it's scored
| 27/27 | Ships releases — 36 releases published |
| 36/36 | Release recency — latest release 5 days ago |
| 27/27 | Release cadence — a release every ~2.6 days |
| 0/10 | OpenSSF Scorecard: Signed-Releases — no data |
Inputs used
| releases_count | 36 |
| latest_release_tag | v5.0.8 |
| releases_from_tags | no |
| days_since_latest_release | 5 |
| mean_days_between_releases | 2.6 |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.
Community & Adoption
Does the project have users, downloads, attention, and a welcoming setup for contributors?
94
Popularity & adoption
95Exceptional
How it's scored
| 60/60 | Stars — 10,044 stars |
| 25/25 | Forks — 2,106 forks |
| 9.9/15 | Watchers — 62 watchers |
Inputs used
| forks | 2,106 |
| stars | 10,044 |
| watchers | 62 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community health
92Excellent
How it's scored
| 22.5/22.5 | README |
| 22.5/22.5 | License — recognized license (Apache-2.0) |
| 18/18 | CONTRIBUTING guide |
| 13.5/13.5 | Code of conduct |
| 0/7.2 | Issue template |
| 6.3/6.3 | PR template |
Inputs used
| has_readme | yes |
| has_license | yes |
| readme_badges | — |
| has_contributing | yes |
| has_issue_template | no |
| has_code_of_conduct | yes |
| readme_badge_services | — |
| has_pull_request_template | yes |
Sustainability & Governance
Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?
51
Maintainer resilience (bus factor)
58Moderate
How it's scored
| 25.2/54 | Bus factor — 2 contributor(s) cover half of all commits |
| 13.4/22.5 | Commit distribution — top contributor authored 40% of commits |
| 13.5/13.5 | Contributor breadth — 18 contributors |
| 6/10 | OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
Inputs used
| bus_factor | 2 |
| contributors_sampled | 18 |
| top_contributor_share | 0.403 |
Issue & PR responsiveness
50Moderate
How it's scored
| 29.4/42 | Issue resolution — 70% of issues closed |
| 13.7/30 | PR acceptance — 31/68 decided PRs merged |
| 0/13 | Newcomer PR acceptance — no first-time contributor's PR decided in 30d |
| 0/15 | OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
Inputs used
| merged_prs | 31 |
| open_issues | 29 |
| closed_issues | 68 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0.701 |
| closed_unmerged_prs | 37 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Excluded from scoring (no data or not applicable): newcomer_pr_acceptance. Remaining weights renormalized.
Ownership & stewardship
43Weak
How it's scored
| 30/30 | Ownership backing — organization-owned |
| 0/20 | Verified domain |
| 7.8/25 | Owner reach — 11 followers of OpenByteInc |
| 5.1/25 | Track record — 4 public repos, account ~0 yr old |
Inputs used
| followers | 11 |
| owner_type | Organization |
| is_verified | — |
| owner_login | OpenByteInc |
| public_repos | 4 |
| account_age_days | 8 |
Engineering Quality
Are baseline engineering and documentation practices in place?
72
Engineering practices
60Moderate
How it's scored
| 24/24 | CI workflows — 4 workflow(s) |
| 24/24 | Tests present |
| 0/16 | Linter config |
| 0/9.6 | Pre-commit hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — no data |
Inputs used
| has_ci | yes |
| has_tests | yes |
| has_editorconfig | no |
| has_linter_config | no |
| has_precommit_config | no |
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
Documentation
90Excellent
How it's scored
| 30/30 | README |
| 25/25 | Documentation directory |
| 15/15 | Documentation / homepage site — https://ai.quantdinger.com |
| 10/10 | Repository description |
| 10/10 | Topics — 20 topics |
| 0/10 | Wiki |
Inputs used
| topics | quantitative-finance, quant, trade, python, fintech, agent, forex, alpaca, binance, backtesting, stocks, finance, crypto, exchange, saas, coinbase, strategy, mcp-server, ai, trading-toolkit |
| has_wiki | no |
| homepage | https://ai.quantdinger.com |
| has_readme | yes |
| has_docs_dir | yes |
| has_description | yes |
Security
Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?
67
Security posture
59Moderate
How it's scored
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/release branches |
| 0/2.5 | CI-Tests — no data |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0/7.5 | Code-Review — Found 0/30 approved changesets -- score normalized to 0 |
| 1.5/2.5 | Contributors — project has 2 contributing companies or organizations -- score normalized to 6 |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | License — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 5/5 | SAST — SAST tool detected: CodeQL |
| 2/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — no data |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Inputs used
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5.9 |
Excluded from scoring (no data or not applicable): ci_tests, signed_releases. Remaining weights renormalized.
Dependency advisories
100Exceptional
How it's scored
| 35/35 | Direct dependencies free of known advisories — no direct dependency carries a known advisory |
| 25/25 | Indirect dependencies free of known advisories — no indirect dependency carries a known advisory |
| 0/40 | No advisories left outstanding — no advisory carries a publication date |
Inputs used
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 29 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:quantdinger-mcp@0.4.0 runtime dependency closure — what installing the published package pulls in — 29 packages. Reachability is not analyzed.
AI Readiness
How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.
41
Agent context & guidance
9Critical
How it's scored
| 0/45 | Agent instructions — no CLAUDE.md / AGENTS.md / editor rules |
| 0/15 | Machine-readable docs (llms.txt) |
| 9.1/40 | Legible commit history — 17 of 100 human commits state their intent (structured subject or explanatory body) |
Inputs used
| has_llms_txt | no |
| legible_history_share | 0.17 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
How it's scored
| 0/18 | One-command bootstrap |
| 22/22 | Automated tests |
| 0/11 | Lint / format config |
| 0/11 | Static type checking |
| 10/10 | Reproducible environment — Dockerfile |
| 0/10 | Demonstrated agent practice — no agent-authored commits among the last 100 |
| 5/8 | Automated maintenance — dependency automation configured, none observed in the sampled commits |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Inputs used
| has_nix | no |
| has_tests | yes |
| lockfiles | — |
| has_dockerfile | yes |
| typed_language | no |
| bootstrap_files | — |
| has_devcontainer | no |
| has_linter_config | no |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Code legibility for models
54Moderate
How it's scored
| 0/45 | Type-checkable code — Python without a type-check config |
| 53.9/55 | Manageable file sizes — 12/577 source files over 60KB |
Inputs used
| primary_language | Python |
| largest_source_bytes | 124,651 |
| source_files_sampled | 577 |
| oversized_source_files | 12 |
Machine-readable interfaces
100Exceptional
How it's scored
| 40/40 | API schema (OpenAPI/GraphQL/proto) — docs/api/openapi.yaml |
| 20/20 | MCP server |
| 40/40 | Runnable examples — examples |
Inputs used
| example_dirs | examples |
| has_mcp_signal | yes |
| api_schema_files | docs/api/openapi.yaml |
Key facts
10,044GitHub stars
18contributors
459commits, last 12 months
3days since last push
36releases
2bus factor
29open issues
PyPIpackage ecosystems
Data collection warnings
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- pypi package 'quantdinger-mcp' points at a different repository (https://github.com/brokermr810/QuantDinger); excluded from ecosystem scoring
More detail
Star and fork history 0 ★ / 2,106 ⇿
0Stars
2,106Forks
36Releases
When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.
Only the most recent history is shown — this repository exceeds the collection window, so the earliest history is not captured.
Major 0Minor 0Patch 36
OpenSSF Scorecard 5.9 / 10
5.9aggregate
Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).
| 10 | Binary-Artifacts | no binaries found in the repo |
| 0 | Branch-Protection | branch protection not enabled on development/release branches |
| n/a | CI-Tests | no pull request found |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 0 | Code-Review | Found 0/30 approved changesets -- score normalized to 0 |
| 6 | Contributors | project has 2 contributing companies or organizations -- score normalized to 6 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 10 | SAST | SAST tool detected: CodeQL |
| 4 | Security-Policy | security policy file detected |
| n/a | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direct dependencies 2
| Registry | Package | Version constraint | Manifest |
|---|---|---|---|
| PyPI | mcp | >=1.28.1,<1.29 | mcp_server/pyproject.toml |
| PyPI | httpx | >=0.27.0,<0.29 | mcp_server/pyproject.toml |
All dependencies 43
Full resolved dependency set from the GitHub dependency graph: 2 direct and 41 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.
| Registry | Package | Version | Relation |
|---|---|---|---|
| PyPI | httpx | — | direct |
| PyPI | mcp | — | direct |
| PyPI | akshare | — | indirect |
| PyPI | alpaca-py | — | indirect |
| PyPI | bandit | — | indirect |
| PyPI | bcrypt | — | indirect |
| PyPI | build | — | indirect |
| PyPI | ccxt | — | indirect |
| PyPI | celery | — | indirect |
| PyPI | certifi | — | indirect |
| PyPI | cryptography | — | indirect |
| PyPI | exchange-calendars | — | indirect |
| PyPI | finnhub-python | — | indirect |
| PyPI | flask | 3.1.3 | indirect |
| PyPI | flask-cors | 6.0.0 | indirect |
| PyPI | flask-smorest | — | indirect |
| PyPI | gunicorn | — | indirect |
| PyPI | ib-insync | — | indirect |
| PyPI | litellm | — | indirect |
| PyPI | marshmallow | — | indirect |
| PyPI | pandas | — | indirect |
| PyPI | pip-audit | — | indirect |
| PyPI | prometheus-client | — | indirect |
| PyPI | psycopg2-binary | — | indirect |
| PyPI | pyjwt | — | indirect |
| PyPI | pyotp | — | indirect |
| PyPI | pypdf | — | indirect |
| PyPI | pysocks | — | indirect |
| PyPI | pytest | — | indirect |
| PyPI | pytest-cov | — | indirect |
| PyPI | pytest-timeout | — | indirect |
| PyPI | python-dotenv | — | indirect |
| PyPI | pyyaml | — | indirect |
| PyPI | qrcode | — | indirect |
| PyPI | redis | — | indirect |
| PyPI | reportlab | — | indirect |
| PyPI | requests | — | indirect |
| PyPI | ruff | — | indirect |
| PyPI | setuptools | — | indirect |
| PyPI | ta-lib | 0.6.8 | indirect |
| PyPI | twine | — | indirect |
| PyPI | werkzeug | — | indirect |
| PyPI | yfinance | — | indirect |
Dependency advisories 0
Installing pypi:quantdinger-mcp@0.4.0 pulls in 29 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.
No known advisories affect the assessed dependencies.
An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.
Raw JSON report machine-readable
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{
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{
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"metrics": [
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{
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"readme_badges": null,
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{
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"details": [
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{
"code": "license_spdx",
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{
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{
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"points": 13.5,
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{
"key": "issue_template",
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{
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],
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{
"key": "governance",
"band": "moderate",
"name": "Sustainability & Governance",
"value": 51,
"weight": 0.23,
"metrics": [
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"key": "maintainer_resilience",
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{
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},
{
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"notes": [
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{
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{
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{
"key": "stewardship",
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{
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{
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{
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{
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{
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{
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{
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},
{
"key": "documentation",
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"inputs": {
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{
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{
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{
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{
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{
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},
{
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},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
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"status": "missed",
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},
{
"key": "license",
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},
{
"key": "maintained",
"name": "Maintained",
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"points": 7.5,
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{
"key": "packaging",
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"points": 5,
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},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
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"status": "missed",
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},
{
"key": "sast",
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"status": "met",
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},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 2,
"status": "partial",
"details": [],
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},
{
"key": "signed_releases",
"name": "Signed-Releases",
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"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
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],
"max_points": 7.5
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{
"key": "token_permissions",
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
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},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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]
},
{
"key": "dependency_advisories",
"band": "exceptional",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:quantdinger-mcp@0.4.0 runtime dependency closure — what installing the published package pulls in — 29 packages. Reachability is not analyzed.",
"notes": [
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},
{
"code": "weights_renormalized",
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{
"code": "advisories_scope_published",
"params": {
"package": "pypi:quantdinger-mcp@0.4.0",
"assessed": 29
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 29,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "exceptional",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 29,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "exceptional",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"commit_weight_rule": {
"min_commits": 50,
"min_commit_share": 0.1
},
"review_only_matches": 0,
"below_threshold_exposures": [],
"assessed_self_published_locations": 3
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "weak",
"name": "AI Readiness",
"value": 41,
"weight": 0.04,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 9,
"inputs": {
"has_llms_txt": false,
"legible_history_share": 0.17,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "17 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 9.1,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 17,
"sampled": 100
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "weak",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 37,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": true,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": false,
"typecheck_configs": [],
"agent_commit_share": 0,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "Dockerfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Dockerfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 54,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 124651,
"source_files_sampled": 577,
"oversized_source_files": 12
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "12/577 source files over 60KB",
"points": 53.9,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 577,
"oversized": 12
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "exceptional",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": true,
"api_schema_files": [
"docs/api/openapi.yaml"
]
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": "docs/api/openapi.yaml",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "docs/api/openapi.yaml"
}
}
],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 20,
"status": "met",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
}
],
"classification": {
"labels": [
"mcp-server"
],
"scores": {
"mcp-server": 9,
"network-service": 3
},
"primary": "mcp-server",
"evidence": [
{
"tier": "dependencies",
"label": "mcp-server",
"source": "dep:mcp",
"weight": 4
},
{
"tier": "structure",
"label": "mcp-server",
"source": "mcp_signal",
"weight": 3
},
{
"tier": "structure",
"label": "network-service",
"source": "api_schema",
"weight": 3
},
{
"tier": "tags",
"label": "mcp-server",
"source": "tag:mcp-server",
"weight": 2
}
],
"artifacts": [],
"confidence": "medium",
"host_extension": false,
"runs_as_process": true,
"consumed_by_code": false
},
"metrics_version": "2.3.1"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"pypi package 'quantdinger-mcp' points at a different repository (https://github.com/brokermr810/QuantDinger); excluded from ecosystem scoring"
],
"report_type": "repository",
"generated_at": "2026-07-27T17:07:53.438840Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/OpenByteInc/QuantDinger.svg",
"full_name": "OpenByteInc/QuantDinger",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.
Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.3.1, schema v0.27.0 — full methodology · metrics wiki.
How one result sits in the wider record: aggregate statistics — PyPI.