Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 04:27 UTC

agentic-hil / agentic-hil

Let your coding agent develop firmware on the real board, with the hardware as the gate.

PythonApache-2.0★ 13 stars⑂ 1 forksince Jun 2026View on GitHub ↗
KindCommand-line toolPluginLibraryMCP serverhow this is determined
#embedded#hardware-in-the-loop#mcp#openocd#agent-tools#firmware#debugger#embedded-ai#stlink#ai-agents#developer-tools#embedded-testing#pytest-plugin#model-context-protocol#firmware-testing#mcp-server

agentic-hil/agentic-hil holds a health index of 86 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Community & Adoption (55/100). It was last updated today. A single contributor accounts for most of its recent work.

86
overall / 100
Excellent

Software 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.

86
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)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

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 72 is calibrated to 86 on the published index scale (record calibration 2026-08-02).

Ownership

Agentic HILOrganization
2 followers3 public repossince Jul 2026

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIagentic-hil0.21.55,162298 days agomcpmodel-context-protocolembeddedhardware-in-the-loopopenocdfirmwareserialstlinkdebuggeragentic-hilagenticstm32mcp-serveruartcancan-buspyocdpytesthardware-testingfirmware-testing

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

77Good · 21% of overall

Development activity

62Moderate
How it's scored
36/36Push recency — last push 0 days ago
7.6/36Commit cadence — 11/52 weeks with commits
18/18Commit volume — 1,399 commits in the last year
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year1,399
human_commit_share0.97
days_since_last_push0
active_weeks_last_year11

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 29 releases published
36/36Release recency — latest release 8 days ago
27/27Release cadence — a release every ~2 days
10/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count29
latest_release_tagv0.21.5
releases_from_tagsno
days_since_latest_release8
mean_days_between_releases2

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

55Moderate · 17% of overall

Popularity & adoption

18Critical
How it's scored
17.5/60Stars — 13 stars
0/25Forks — 1 forks
0/15Watchers — 0 watchers
Inputs used
forks1
stars13
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

62Moderate
How it's scored
49.5/80Monthly downloads — 5,162 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesagentic-hil
dependents—
ecosystemspypi
total_downloads—
monthly_downloads5,162
unverified_packages_excluded—
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

58Moderate · 23% of overall

Maintainer resilience (bus factor)

14Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
1.1/22.5Commit distribution — top contributor authored 95% of commits
4.1/13.5Contributor breadth — 3 contributors
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.952

Issue & PR responsiveness

96Exceptional
How it's scored
40.1/42Issue resolution — 95% of issues closed
27.6/30PR acceptance — 266/289 decided PRs merged
13/13Newcomer PR acceptance — 1/1 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs266
open_issues12
closed_issues248
prs_merged_7d1
prs_decided_7d1
prs_merged_30d47
prs_decided_30d51
issue_closed_ratio0.954
closed_unmerged_prs23
first_time_authors_30d1
first_time_prs_merged_30d1
first_time_prs_decided_30d1

Ownership & stewardship

38Weak
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
3.4/25Owner reach — 2 followers of agentic-hil
4.7/25Track record — 3 public repos, account ~0 yr old
Inputs used
followers2
owner_typeOrganization
is_verifiedno
owner_loginagentic-hil
public_repos3
account_age_days63

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 8 days ago
20/20Version history — 29 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesagentic-hil
ecosystemspypi
any_deprecatedno
min_days_since_publish8

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
16/16Linter config — pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://agentic-hil.github.io
10/10Repository description
10/10Topics — 16 topics
10/10Wiki
Inputs used
topicsembedded, hardware-in-the-loop, mcp, openocd, agent-tools, firmware, debugger, embedded-ai, stlink, ai-agents, developer-tools, embedded-testing, pytest-plugin, model-context-protocol, firmware-testing, mcp-server
has_wikiyes
homepagehttps://agentic-hil.github.io
docs_sitehttps://agentic-hil.github.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

83Excellent · 16% of overall

Security posture

79Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
4.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
7.5/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.9

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages7
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:agentic-hil@0.21.5 runtime dependency closure — what installing the published package pulls in — 7 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.

76Good · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt present
40/40Legible commit history — 95 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_url—
legible_history_share0.979
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes22,701

Verify loop (build / test / typecheck)

60Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — pyproject.toml ([tool.ruff])
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
9/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 9
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0.03

Code legibility for models

46Weak
How it's scored
0/45Type-checkable code — Python without a type-check config
45.7/55Manageable file sizes — 42/249 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes517,319
source_files_sampled249
oversized_source_files42

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

13GitHub stars
3contributors
1,399commits, last 12 months
0days since last push
29releases
1bus factor
12open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

More detail

OpenSSF Scorecard 7.9 / 10
7.9aggregate

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).Scorecard v5.5.0 · 2026-09-16 04:26 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintainedproject was created within the last 90 days. Please review its contents carefully
10Packagingpackaging workflow detected
9Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 9
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
10Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIjsonschema>=4.22pyproject.toml
PyPIPyYAML>=6.0pyproject.toml
PyPIpyserial>=3.5pyproject.toml
PyPItomli>=2pyproject.toml
All dependencies 154

Full resolved dependency set from the GitHub dependency graph: 8 direct and 146 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjsonschema—direct
PyPIjsonschema4.25.1direct
PyPIjsonschema4.26.0direct
PyPIpyserial—direct
PyPIpyserial3.5direct
PyPIpyyaml—direct
PyPIpyyaml6.0.2direct
PyPIpyyaml6.0.3direct
npm@anthropic-ai/claude-code2.1.218indirect
npm@anthropic-ai/claude-code-darwin-arm642.1.218indirect
npm@anthropic-ai/claude-code-darwin-x642.1.218indirect
npm@anthropic-ai/claude-code-linux-arm642.1.218indirect
npm@anthropic-ai/claude-code-linux-arm64-musl2.1.218indirect
npm@anthropic-ai/claude-code-linux-x642.1.218indirect
npm@anthropic-ai/claude-code-linux-x64-musl2.1.218indirect
npm@anthropic-ai/claude-code-win32-arm642.1.218indirect
npm@anthropic-ai/claude-code-win32-x642.1.218indirect
npm@openai/codex0.145.0indirect
npm@openai/codex0.145.0-darwin-arm64indirect
npm@openai/codex0.145.0-darwin-x64indirect
npm@openai/codex0.145.0-linux-arm64indirect
npm@openai/codex0.145.0-linux-x64indirect
npm@openai/codex0.145.0-win32-arm64indirect
npm@openai/codex0.145.0-win32-x64indirect
npmopencode-ai1.18.3indirect
npmopencode-darwin-arm641.18.3indirect
npmopencode-darwin-x641.18.3indirect
npmopencode-darwin-x64-baseline1.18.3indirect
npmopencode-linux-arm641.18.3indirect
npmopencode-linux-arm64-musl1.18.3indirect
npmopencode-linux-x641.18.3indirect
npmopencode-linux-x64-baseline1.18.3indirect
npmopencode-linux-x64-baseline-musl1.18.3indirect
npmopencode-linux-x64-musl1.18.3indirect
npmopencode-windows-arm641.18.3indirect
npmopencode-windows-x641.18.3indirect
npmopencode-windows-x64-baseline1.18.3indirect
PyPIappdirs1.4.4indirect
PyPIarrow1.4.0indirect
PyPIattrs26.1.0indirect
PyPIboolean-py5.0indirect
PyPIbuild—indirect
PyPIbuild1.5.0indirect
PyPIbuild1.6.0indirect
PyPIbuild1.6.1indirect
PyPIcapstone5.0.9indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.0indirect
PyPIcffi2.1.1indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIcharset-normalizer3.5.1indirect
PyPIcmsis-pack-manager0.6.0indirect
PyPIcolorama0.4.6indirect
PyPIcryptography50.0.0indirect
PyPIcryptography50.0.1indirect
PyPIcyclonedx-bom7.3.1indirect
PyPIcyclonedx-bom7.4.0indirect
PyPIcyclonedx-python-lib11.11.0indirect
PyPIcyclonedx-python-lib11.12.0indirect
PyPIdefusedxml0.7.1indirect
PyPIdocutils0.23indirect
PyPIexecnet2.1.2indirect
PyPIfqdn1.5.1indirect
PyPIhidapi0.15.0indirect
PyPIid1.6.1indirect
PyPIidna3.18indirect
PyPIidna3.19indirect
PyPIimportlib-metadata9.0.0indirect
PyPIimportlib-metadata9.0.1indirect
PyPIimportlib-resources7.1.0indirect
PyPIiniconfig2.3.0indirect
PyPIintelhex2.3.0indirect
PyPIintervaltree3.2.1indirect
PyPIisoduration20.11.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjsonpointer3.1.1indirect
PyPIjsonschema-specifications2025.9.1indirect
PyPIkeyring25.7.0indirect
PyPIlark1.3.1indirect
PyPIlibusb-package1.0.30.0indirect
PyPIlicense-expression30.4.4indirect
PyPIlxml6.1.1indirect
PyPIlxml6.1.3indirect
PyPImarkdown-it-py4.2.0indirect
PyPImdurl0.1.2indirect
PyPImkdocs-material—indirect
PyPImore-itertools11.1.0indirect
PyPInatsort8.4.0indirect
PyPInh30.3.6indirect
PyPInh30.3.7indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.2indirect
PyPIpackaging26.3indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIpluggy1.6.0indirect
PyPIprettytable3.18.0indirect
PyPIpsutil7.2.2indirect
PyPIpy-serializable2.1.0indirect
PyPIpycparser3.0indirect
PyPIpyelftools0.33indirect
PyPIpygments2.20.0indirect
PyPIpygments2.21.0indirect
PyPIpylink-square1.7.0indirect
PyPIpyocd—indirect
PyPIpyocd0.45.1indirect
PyPIpyparsing3.3.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpyproject-hooks1.3.0indirect
PyPIpytest—indirect
PyPIpytest9.1.1indirect
PyPIpytest-xdist—indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-can—indirect
PyPIpython-can4.6.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpyusb1.3.1indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIreadme-renderer45.0indirect
PyPIreadme-renderer46.0indirect
PyPIreferencing0.37.0indirect
PyPIrequests2.34.2indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrfc3339-validator0.1.4indirect
PyPIrfc39862.0.0indirect
PyPIrfc3986-validator0.1.1indirect
PyPIrfc3987-syntax1.1.0indirect
PyPIrich15.0.0indirect
PyPIrpds-py2026.6.3indirect
PyPIruff—indirect
PyPIruff0.16.5indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptools—indirect
PyPIsetuptools84.0.0indirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPItwine—indirect
PyPItwine7.0.0indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.3indirect
PyPItzdata2026.4indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIurllib32.8.0indirect
PyPIuv0.12.13indirect
PyPIuv0.12.9indirect
PyPIwcwidth0.8.3indirect
PyPIwebcolors25.10.0indirect
PyPIwheel0.48.0indirect
PyPIwrapt1.17.3indirect
PyPIzipp4.1.0indirect
Dependency advisories 0

Installing pypi:agentic-hil@0.21.5 pulls in 7 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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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 v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.