Public record
Software health reportschema 0.14.0 · metrics 2.10.0 · 2026-07-18 17:47 UTC

githubsecuritylab / seclab-taskflow-agent

GitHub Security Lab Taskflow Agent

PythonMIT★ 214 stars⑂ 25 forkssince Sep 2025View on GitHub ↗
KindMCP serverCommand-line toolLibraryNetwork servicehow this is determined

githubsecuritylab/seclab-taskflow-agent holds a health index of 88 out of 100, placing it in the Excellent band. It scores highest on Vitality (91/100) and lowest on AI Readiness (44/100). It was last updated 1 day ago. 2 contributors account for most of its recent work.

88
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.

88
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 74 is calibrated to 88 on the published index scale (record calibration 2026-08-02).

Ownership

GitHub Security LabOrganization
240 followers15 public repossince Mar 2023

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIseclab-taskflow-agent0.4.11,2241510 days agoagentic-workflowsmcpopenai-agentspydanticsecurity-researchtaskflowyaml

Metrics by category

Vitality

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

91Excellent · 21% of overall

Development activity

92Excellent
How it's scored
36/36Push recency — last push 1 days ago
28.4/36Commit cadence — 41/52 weeks with commits
18/18Commit volume — 809 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year809
human_commit_share—
days_since_last_push1
active_weeks_last_year41

Release discipline

90Excellent
How it's scored
27/27Ships releases — 26 releases published
36/36Release recency — latest release 10 days ago
27/27Release cadence — a release every ~15.3 days
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Inputs used
releases_count26
latest_release_tagv0.4.1
releases_from_tagsno
days_since_latest_release10
mean_days_between_releases15.3

Community & Adoption

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

62Moderate · 17% of overall

Popularity & adoption

49Weak
How it's scored
37.8/60Stars — 214 stars
11.5/25Forks — 25 forks
0/15Watchers — 2 watchers
Inputs used
forks25
stars214
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
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
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

52Moderate
How it's scored
41.2/80Monthly downloads — 1,224 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesseclab-taskflow-agent
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,224
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?

76Good · 23% of overall

Maintainer resilience (bus factor)

60Moderate
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
11.4/22.5Commit distribution — top contributor authored 49% of commits
13.5/13.5Contributor breadth — 13 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor2
contributors_sampled13
top_contributor_share0.492

Issue & PR responsiveness

74Good
How it's scored
25.4/42Issue resolution — 60% of issues closed
23.7/30PR acceptance — 183/232 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs183
open_issues15
closed_issues23
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.605
closed_unmerged_prs49
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

78Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain — verified-domain status not read for this organization
17.1/25Owner reach — 240 followers of GitHubSecurityLab
15.5/25Track record — 15 public repos, account ~3 yr old
Inputs used
followers240
owner_typeOrganization
is_verified—
owner_loginGitHubSecurityLab
public_repos15
account_age_days1,230
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 10 days ago
20/20Version history — 15 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesseclab-taskflow-agent
ecosystemspypi
any_deprecatedno
min_days_since_publish10

Engineering Quality

Are baseline engineering and documentation practices in place?

71Good · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 6 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 6 out of 6 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

75Good
How it's scored
30/30README
25/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

72Good · 16% of overall

Security posture

72Good
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 — 6 out of 6 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
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
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
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
5/5SAST — SAST tool is run on all commits
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate7.2

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.

44Weak · 4% of overall

Agent context & guidance

1Critical
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share—
agent_instruction_files—
agent_instruction_max_bytes—
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

56Moderate
How it's scored
0/18One-command bootstrap
22/22Automated tests
0/11Lint / format config
11/11Static type checking — src/seclab_taskflow_agent/mcp_servers/codeql/jsonrpyc/py.typed
10/10Reproducible environment — devcontainer, Dockerfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
3/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 3
Inputs used
has_nixno
has_testsyes
lockfiles—
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontaineryes
has_linter_configno
typecheck_configssrc/seclab_taskflow_agent/mcp_servers/codeql/jsonrpyc/py.typed
agent_commit_share—
toolchain_manifests—
dependency_bot_commit_share—
Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.

Code legibility for models

81Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/seclab_taskflow_agent/mcp_servers/codeql/jsonrpyc/py.typed)
54.4/55Manageable file sizes — 1/85 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes64,756
source_files_sampled85
oversized_source_files1

Machine-readable interfaces

60Moderate
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_ofnetwork-service

Key facts

214GitHub stars
13contributors
809commits, last 12 months
1days since last push
26releases
2bus factor
15open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 7.2 / 10
7.2aggregate

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 · 2026-07-18 17:47 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests6 out of 6 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
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
3Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 3
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 85
RegistryPackageVersion constraintManifest
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PyPIJinja2>=3.1.0pyproject.toml
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PyPIpydantic==2.13.3pyproject.toml
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PyPIpyperclip==1.9.0pyproject.toml
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PyPIpython-multipart==0.0.31pyproject.toml
PyPIPyYAML==6.0.2pyproject.toml
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PyPIrequests==2.33.0pyproject.toml
PyPIrfc3339-validator==0.1.4pyproject.toml
PyPIrich==14.0.0pyproject.toml
PyPIrich-rst==1.3.1pyproject.toml
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PyPIshellingham==1.5.4pyproject.toml
PyPIsix==1.17.0pyproject.toml
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PyPItyper==0.16.0pyproject.toml
PyPItypes-requests==2.32.4.20250611pyproject.toml
PyPItyping-inspection==0.4.2pyproject.toml
PyPItyping_extensions==4.15.0pyproject.toml
PyPIujson==5.13.0pyproject.toml
PyPIurllib3==2.7.0pyproject.toml
PyPIuvicorn==0.35.0pyproject.toml
PyPIzipp==3.23.0pyproject.toml
All dependencies 85

Full resolved dependency set from the GitHub dependency graph: 85 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIannotated-types0.7.0direct
PyPIanthropic—direct
PyPIanyio4.9.0direct
PyPIattrs25.3.0direct
PyPIauthlib1.6.12direct
PyPIcertifi2025.6.15direct
PyPIcffi2.0.0direct
PyPIcharset-normalizer3.4.2direct
PyPIclick8.2.1direct
PyPIcolorama0.4.6direct
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PyPIdocstring-parser0.17.0direct
PyPIdocutils0.22direct
PyPIemail-validator2.3.0direct
PyPIexceptiongroup1.3.0direct
PyPIfastmcp3.2.0direct
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PyPIhttpcore1.0.9direct
PyPIhttpx0.28.1direct
PyPIhttpx-sse0.4.1direct
PyPIidna3.15direct
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PyPIisodate0.7.2direct
PyPIjedi0.19.2direct
PyPIjinja2—direct
PyPIjiter0.10.0direct
PyPIjsonschema4.24.0direct
PyPIjsonschema-path0.3.4direct
PyPIjsonschema-specifications2025.4.1direct
PyPIlazy-object-proxy1.12.0direct
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PyPIopenai-agents0.2.11direct
PyPIopenapi-core0.19.5direct
PyPIopenapi-pydantic0.5.1direct
PyPIopenapi-schema-validator0.6.3direct
PyPIopenapi-spec-validator0.7.2direct
PyPIparse1.20.2direct
PyPIparso0.8.4direct
PyPIpathable0.4.4direct
PyPIplatformdirs4.5.0direct
PyPIpluggy1.6.0direct
PyPIpycparser2.23direct
PyPIpydantic2.13.3direct
PyPIpydantic-core2.46.3direct
PyPIpydantic-settings2.14.2direct
PyPIpygments2.20.0direct
PyPIpyperclip1.9.0direct
PyPIpython-dotenv1.2.2direct
PyPIpython-lsp-jsonrpc1.1.2direct
PyPIpython-lsp-server1.12.2direct
PyPIpython-multipart0.0.31direct
PyPIpyyaml6.0.2direct
PyPIreferencing0.36.2direct
PyPIrequests2.33.0direct
PyPIrfc3339-validator0.1.4direct
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PyPIrich-rst1.3.1direct
PyPIrpds-py0.26.0direct
PyPIshellingham1.5.4direct
PyPIsix1.17.0direct
PyPIsniffio1.3.1direct
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PyPIsse-starlette2.4.1direct
PyPIstarlette1.3.1direct
PyPIstrenum0.4.15direct
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PyPItyper0.16.0direct
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PyPItyping-extensions4.15.0direct
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PyPIurllib32.7.0direct
PyPIuvicorn0.35.0direct
PyPIzipp3.23.0direct
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 v0.14.0 — full methodology · metrics wiki.

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