Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-13 11:07 UTC

nicolasmelo1 / logion

"Does this actually work with my agent?" An open, versioned registry of AI-agent artifacts: skills, plugins, MCP servers, models, etc. with provenance and evidence attached, published over open protocols.

PythonMIT★ 38 stars⑂ 2 forkssince May 2026View on GitHub ↗
KindLibraryCommand-line toolNetwork servicehow this is determined

nicolasmelo1/logion holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (90/100) and lowest on Community & Adoption (53/100). It was last updated 3 days ago. A single contributor accounts for most of its recent work.

80
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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

Nicolas LealPersonal account
131 followers79 public repossince Jun 2015@palmaresHQ

This repository is owned by a personal account. A single-owner project carries more continuity risk than an organization-backed one.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIlogion-cli0.1.152451556 days agologionmarketplaceagentskillcli
PyPIlogion-client0.1.152441056 days agoagentlogionmarketplacesdk

Metrics by category

Vitality

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

81Excellent · 21% of overall
How it's scored
36/36Push recency — last push 3 days ago
11.1/36Commit cadence — 16/52 weeks with commits
18/18Commit volume — 351 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year351
human_commit_share0.99
days_since_last_push3
active_weeks_last_year16
How it's scored
27/27Ships releases — 46 releases published
36/36Release recency — latest release 22 days ago
27/27Release cadence — a release every ~5 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count46
latest_release_taglogion-client-v0.2.0.dev1
releases_from_tagsno
days_since_latest_release22
mean_days_between_releases5

Community & Adoption

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

53Moderate · 17% of overall
How it's scored
25.4/60Stars — 38 stars
0/25Forks — 2 forks
0/15Watchers — 0 watchers
Inputs used
forks2
stars38
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 (MIT)
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_badges9
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes
How it's scored
35.9/80Monthly downloads — 489 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packageslogion-cli, logion-client
dependents—
ecosystemspypi
total_downloads—
monthly_downloads489
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?

56Moderate · 23% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0.3/22.5Commit distribution — top contributor authored 99% of commits
4.1/13.5Contributor breadth — 3 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled3
top_contributor_share0.988
How it's scored
37.8/42Issue resolution — 90% of issues closed
25.3/30PR acceptance — 257/305 decided PRs merged
0/13Newcomer PR acceptance — 0/2 first-time contributors' PRs merged in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Inputs used
merged_prs257
open_issues1
closed_issues9
prs_merged_7d2
prs_decided_7d2
prs_merged_30d53
prs_decided_30d60
issue_closed_ratio0.9
closed_unmerged_prs48
first_time_authors_30d1
first_time_prs_merged_30d0
first_time_prs_decided_30d2
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
15.2/25Owner reach — 131 followers of nicolasmelo1
25/25Track record — 79 public repos, account ~11 yr old
Inputs used
followers131
owner_typeUser
is_verified—
owner_loginnicolasmelo1
public_repos79
account_age_days4,106
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on pypi
35/35Publish recency — latest publish 56 days ago
20/20Version history — 15 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslogion-cli, logion-client
ecosystemspypi
any_deprecatedno
min_days_since_publish56

Engineering Quality

Are baseline engineering and documentation practices in place?

90Excellent · 19% of overall
How it's scored
24/24CI workflows — 14 workflow(s)
24/24Tests present
16/16Linter config — eslint.config.mjs, packages/agent-companion/pyproject.toml ([tool.ruff]), packages/agent-proving-ground/pyproject.toml ([tool.ruff]), packages/bot/pyproject.toml ([tool.ruff]), packages/cli/pyproject.toml ([tool.ruff]), packages/client/pyproject.toml ([tool.ruff]), packages/eval-contract/pyproject.toml ([tool.ruff]), packages/indexer/pyproject.toml ([tool.ruff]), packages/runner/pyproject.toml ([tool.ruff]), packages/scanners/pyproject.toml ([tool.ruff]), packages/skillmap/pyproject.toml ([tool.ruff]), packages/social-management/pyproject.toml ([tool.ruff]), pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 29 out of 29 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://logion.sh
10/10Repository description
10/10Topics — 20 topics
10/10Wiki
Inputs used
topicsagents, claude-code, claude-code-skill, clawhub, directory, hermes, hermes-skill, network, openclaw, skill, skill-development, skills, skills-course, logion, ai, ai-agent, ai-agents, llm, llm-tools, openai
has_wikiyes
homepagehttps://logion.sh
docs_sitehttps://logion.sh
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

54Moderate · 16% of overall
How it's scored
6.8/7.5Binary-Artifacts — binaries present in source code
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 29 out of 29 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
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 27 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.2

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_packages17
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:logion-cli@0.1.15 runtime dependency closure — what installing the published package pulls in — 17 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.

78Good · 4% of overall
How it's scored
45/45Agent instructions — AGENTS.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://logion.sh/llms.txt)
40/40Legible commit history — 99 of 99 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://logion.sh/llms.txt
legible_history_share1
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes7,098
How it's scored
18/18One-command bootstrap — Makefile, packages/agent-companion/Makefile, packages/agent-proving-ground/Makefile, packages/client/Makefile
22/22Automated tests
11/11Lint / format config — eslint.config.mjs, packages/agent-companion/pyproject.toml ([tool.ruff]), packages/agent-proving-ground/pyproject.toml ([tool.ruff]), packages/bot/pyproject.toml ([tool.ruff]), packages/cli/pyproject.toml ([tool.ruff]), packages/client/pyproject.toml ([tool.ruff]), packages/eval-contract/pyproject.toml ([tool.ruff]), packages/indexer/pyproject.toml ([tool.ruff]), packages/runner/pyproject.toml ([tool.ruff]), packages/scanners/pyproject.toml ([tool.ruff]), packages/skillmap/pyproject.toml ([tool.ruff]), packages/social-management/pyproject.toml ([tool.ruff]), pyproject.toml ([tool.ruff])
11/11Static type checking — packages/client/src/logion/py.typed, packages/npm-wrapper/tsconfig.json, packages/skillmap/logion_skillmap/py.typed
10/10Reproducible environment — Dockerfile, lockfile
2/10Demonstrated agent practice — 1 of the last 100 commits agent-authored or agent-credited
0/8Automated maintenance — no automated dependency updates observed
1/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1
Inputs used
has_nixno
has_testsyes
lockfilespackage-lock.json, uv.lock
has_dockerfileyes
typed_languageno
bootstrap_filesMakefile, packages/agent-companion/Makefile, packages/agent-proving-ground/Makefile, packages/client/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configspackages/client/src/logion/py.typed, packages/npm-wrapper/tsconfig.json, packages/skillmap/logion_skillmap/py.typed
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
27/45Type-checkable code — Python with type-check config (packages/client/src/logion/py.typed, packages/npm-wrapper/tsconfig.json, packages/skillmap/logion_skillmap/py.typed)
54.9/55Manageable file sizes — 2/826 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes138,147
source_files_sampled826
oversized_source_files2
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

38GitHub stars
3contributors
351commits, last 12 months
3days since last push
46releases
1bus factor
1open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'logion' from its registry
  • Could not fetch pypi package 'logion-bot' from its registry
  • Could not fetch pypi package 'logion-runner' from its registry
  • Could not fetch pypi package 'logion-indexer' from its registry
  • Could not fetch pypi package 'logion-landing' from its registry
  • Could not fetch npm package '@logionsh/dsh-plugin' from its registry
  • Could not fetch pypi package 'logion-scanners' from its registry
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

Star and fork history 0 ★ / 2 ⇿
0Stars
2Forks
9Releases

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.

111222212026-072026-072026-07
Major 0Minor 0Patch 0
OpenSSF Scorecard 4.2 / 10
4.2aggregate

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 · 2026-09-13 11:07 UTC

9Binary-Artifactsbinaries present in source code
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests29 out of 29 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
1Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 1
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities27 existing vulnerabilities detected
Direct dependencies 31
RegistryPackageVersion constraintManifest
PyPIpyyaml>=6.0,<7.0packages/agent-companion/pyproject.toml
PyPIpydantic>=2.8packages/agent-proving-ground/pyproject.toml
PyPIpyyaml>=6.0packages/agent-proving-ground/pyproject.toml
PyPIrich>=13.7packages/agent-proving-ground/pyproject.toml
PyPIcryptography>=50.0.0,<51.0.0packages/cli/pyproject.toml
PyPIlogion-client—packages/cli/pyproject.toml
PyPIlogion-runner—packages/cli/pyproject.toml
PyPIlogion-skillmap—packages/cli/pyproject.toml
PyPIpydantic>=2.7,<3.0.0packages/cli/pyproject.toml
PyPIpyyaml>=6.0,<7.0packages/cli/pyproject.toml
PyPIshtab>=1.7,<2.0packages/cli/pyproject.toml
PyPIemail-validator>=2.1,<3.0.0packages/client/pyproject.toml
PyPIhttpx>=0.27,<1.0.0packages/client/pyproject.toml
PyPIpydantic>=2.7,<3.0.0packages/client/pyproject.toml
PyPIpyyaml>=6.0,<7.0packages/eval-contract/pyproject.toml
PyPIlogion-skillmap—packages/indexer/pyproject.toml
PyPIpyyaml>=6.0packages/indexer/pyproject.toml
PyPIfastapi>=0.136.1,<0.137.0packages/landing/pyproject.toml
PyPIjinja2>=3.1.6,<4.0.0packages/landing/pyproject.toml
PyPImarkdown-it-py>=4.0.0,<5.0.0packages/landing/pyproject.toml
PyPIpyyaml>=6.0.2,<7.0.0packages/landing/pyproject.toml
PyPIcryptography>=44.0,<52.0packages/runner/pyproject.toml
PyPIhttpx>=0.27,<1.0.0packages/runner/pyproject.toml
PyPIlogion-client—packages/runner/pyproject.toml
PyPIlogion-eval-contract—packages/runner/pyproject.toml
PyPIpyyaml>=6.0,<7.0packages/scanners/pyproject.toml
PyPIpyyaml>=6.0packages/skillmap/pyproject.toml
PyPIhttpx>=0.28,<0.29packages/social-management/pyproject.toml
PyPIpydantic>=2.6,<3packages/social-management/pyproject.toml
PyPIpyyaml>=6.0,<7.0packages/social-management/pyproject.toml
npm@deepseek-ai/dsh-tools0.0.1-rc.1plugins/dsh-plugin/package.json
All dependencies not collected

The resolved dependency set could not be collected for this report: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Dependency advisories 0

Installing pypi:logion-cli@0.1.15 pulls in 17 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

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 v0.34.0 — full methodology · metrics wiki.

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