Public record
Software health reportschema 0.30.0 · metrics 2.10.0 · 2026-08-03 20:23 UTC

agentic-hil / agentic-hil

Your AI agent develops firmware on its own: build, flash, stimulate real hardware, observe, fix - policy-gated MCP tools + pytest plugin.

PythonApache-2.0★ 8 stars⑂ 0 forkssince Jun 2026View on GitHub ↗
KindCommand-line toolPluginLibraryhow this is determined

agentic-hil/agentic-hil holds a health index of 81 out of 100, placing it in the Excellent band. It scores highest on Security (83/100) and lowest on Community & Adoption (52/100). It was last updated today. A single contributor accounts for most of its recent work.

81
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.

81
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 69 is calibrated to 81 on the published index scale (record calibration 2026-08-02).

Ownership

Agentic HILOrganization
1 follower1 public reposince Jul 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIagentic-hil0.7.12,317100 days agomcpmodel-context-protocolembeddedhardware-in-the-loopopenocdfirmwareserialstlinkdebuggeragentic-hilagenticstm32

Metrics by category

Vitality

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

74Good · 21% of overall
How it's scored
36/36Push recencylast push 0 days ago
3.5/36Commit cadence5/52 weeks with commits
17.9/18Commit volume97 commits in the last year
0/10OpenSSF Scorecard: Maintainedproject was created within the last 90 days. Please review its contents carefully
Inputs used
commits_last_year97
human_commit_share0.99
days_since_last_push0
active_weeks_last_year5

Release discipline

100Exceptional
How it's scored
27/27Ships releases10 releases published
36/36Release recencylatest release 0 days ago
27/27Release cadencea release every ~2.9 days
10/10OpenSSF Scorecard: Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
Inputs used
releases_count10
latest_release_tagv0.7.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases2.9

Community & Adoption

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

52Moderate · 17% of overall
How it's scored
13.7/60Stars8 stars
0/25Forks0 forks
0/15Watchers0 watchers
Inputs used
forks0
stars8
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5Licenserecognized 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_badges0
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services
has_pull_request_templateyes
How it's scored
44.9/80Monthly downloads2,317 downloads/month across pypi
0/20Registry dependentsnot reported by this ecosystem
Inputs used
packagesagentic-hil
dependents
ecosystemspypi
total_downloads
monthly_downloads2,317
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
How it's scored
9/54Bus factor1 contributor(s) cover half of all commits
3.5/22.5Commit distributiontop contributor authored 84% of commits
2.7/13.5Contributor breadth2 contributors
0/10OpenSSF Scorecard: Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled2
top_contributor_share0.844
How it's scored
0/42Issue resolutionno issues or no data
26.8/30PR acceptance75/84 decided PRs merged
12.4/13Newcomer PR acceptance39/41 first-time contributors' PRs merged in 30d
15/15OpenSSF Scorecard: Code-Reviewall changesets reviewed
Inputs used
merged_prs75
open_issues0
closed_issues0
prs_merged_7d30
prs_decided_7d32
prs_merged_30d39
prs_decided_30d41
issue_closed_ratio
closed_unmerged_prs9
first_time_authors_30d1
first_time_prs_merged_30d39
first_time_prs_decided_30d41
Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.
How it's scored
30/30Ownership backingorganization-owned
0/20Verified domainverified-domain status not read for this organization
2.2/25Owner reach1 followers of agentic-hil
2.3/25Track record1 public repos, account ~0 yr old
Inputs used
followers1
owner_typeOrganization
is_verified
owner_loginagentic-hil
public_repos1
account_age_days20
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable1 package(s) on pypi
35/35Publish recencylatest publish 0 days ago
20/20Version history10 published versions
20/20Not deprecatedactive, not deprecated or yanked
Inputs used
packagesagentic-hil
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

81Excellent · 19% of overall
How it's scored
24/24CI workflows5 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Exceptional
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage sitehttps://github.com/hp-8472/agentic-hil#readme
10/10Repository description
10/10Topics15 topics
10/10Wiki
Inputs used
topicsembedded, hardware-in-the-loop, mcp, openocd, agent-tools, firmware, debugger, embedded-ai, stlink, ai-agents, developer-tools, agent-mcp-skills, embedded-testing, model-content-protocol, pytest-plugin
has_wikiyes
homepagehttps://github.com/hp-8472/agentic-hil#readme
docs_sitehttps://github.com/hp-8472/agentic-hil#readme
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
How it's scored
7.5/7.5Binary-Artifactsno binaries found in the repo
3.8/7.5Branch-Protectionbranch protection is not maximal on development and all release branches
2.5/2.5CI-Tests8 out of 8 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Reviewall changesets reviewed
0/2.5Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflowno dangerous workflow patterns detected
7.5/7.5Dependency-Update-Toolupdate tool detected
0/5Fuzzingproject is not fuzzed
2.5/2.5Licenselicense file detected
0/7.5Maintainedproject was created within the last 90 days. Please review its contents carefully
5/5Packagingpackaging workflow detected
4/5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
5/5SASTSAST tool is run on all commits
5/5Security-Policysecurity policy file detected
7.5/7.5Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
7.5/7.5Token-PermissionsGitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities0 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 advisoriesno direct dependency carries a known advisory
0/25Indirect dependencies free of known advisoriestransitive set not separable from development and test dependencies in this scope
0/40No advisories left outstandingno advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages101
unassessed_packages10
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 101 resolved dependencies against OSV. 10 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. 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.

67Good · 4% of overall
How it's scored
45/45Agent instructionsAGENTS.md, CLAUDE.md
0/15Machine-readable docs (llms.txt)
40/40Legible commit history88 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url
legible_history_share0.889
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7,037
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environmentDockerfile, lockfile
0/10Demonstrated agent practiceno agent-authored commits among the last 100
8/8Automated maintenance1 of the last 100 commits are automated dependency updates
8/10OpenSSF Scorecard: Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json
has_dockerfileyes
typed_languageno
bootstrap_files
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.01
How it's scored
0/45Type-checkable codePython without a type-check config
49/55Manageable file sizes10/92 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes119,560
source_files_sampled92
oversized_source_files10
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)not applicable to this kind of software
20/20MCP server
40/40Runnable examplesexamples
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

8GitHub stars
2contributors
97commits, last 12 months
0days since last push
10releases
1bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:agentic-hil@0.7.1; advisories assessed against the repository dependency graph instead

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 · 2026-08-03 20:22 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests8 out of 8 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
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
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 111

Full resolved dependency set from the GitHub dependency graph: 8 direct and 103 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIjsonschemadirect
PyPIjsonschema4.25.1direct
PyPIjsonschema4.26.0direct
PyPIpyserialdirect
PyPIpyserial3.5direct
PyPIpyyamldirect
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
PyPIarrow1.4.0indirect
PyPIattrs26.1.0indirect
PyPIboolean-py5.0indirect
PyPIbuildindirect
PyPIbuild1.5.0indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.0indirect
PyPIchardet5.2.0indirect
PyPIcharset-normalizer3.4.9indirect
PyPIcolorama0.4.6indirect
PyPIcryptography50.0.0indirect
PyPIcyclonedx-bom7.3.1indirect
PyPIcyclonedx-python-lib11.11.0indirect
PyPIdefusedxml0.7.1indirect
PyPIdocutils0.23indirect
PyPIfqdn1.5.1indirect
PyPIid1.6.1indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
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
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PyPIlark1.3.1indirect
PyPIlicense-expression30.4.4indirect
PyPIlxml6.1.1indirect
PyPImarkdown-it-py4.2.0indirect
PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
PyPInh30.3.6indirect
PyPIpackageurl-python0.17.6indirect
PyPIpackaging26.2indirect
PyPIpip-requirements-parser32.0.1indirect
PyPIpluggy1.6.0indirect
PyPIpy-serializable2.1.0indirect
PyPIpycparser3.0indirect
PyPIpygments2.20.0indirect
PyPIpyocdindirect
PyPIpyparsing3.3.2indirect
PyPIpyproject-hooks1.2.0indirect
PyPIpytestindirect
PyPIpytest9.1.1indirect
PyPIpython-canindirect
PyPIpython-can4.6.1indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIreadme-renderer45.0indirect
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
PyPIruffindirect
PyPIruff0.16.1indirect
PyPIsecretstorage3.5.0indirect
PyPIsetuptoolsindirect
PyPIsix1.17.0indirect
PyPIsortedcontainers2.4.0indirect
PyPItwineindirect
PyPItwine7.0.0indirect
PyPItyping-extensions4.16.0indirect
PyPItzdata2026.3indirect
PyPIuri-template1.3.0indirect
PyPIurllib32.7.0indirect
PyPIwebcolors25.10.0indirect
PyPIwrapt1.17.3indirect
Dependency advisories 0

This repository publishes no package the index resolves, so its own dependency graph was assessed — 101 packages, which also include development and test pins that never ship: 0 carry known advisories, of which 0 are direct. 10 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

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

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

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 v0.30.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.