Software health reportschema 0.31.0 · metrics 2.10.0 · 2026-08-12 22:33 UTC

SWE-agent / mini-swe-agent

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

PythonMIT★ 6,428 stars⑂ 889 forkssince Jun 2025View on GitHub ↗

KindCommand-line toolLibraryTerminal interfacehow this is determined

#agent #agentic-ai #agentic-ai-cli #ai #ai-agent #textual

SWE-agent/mini-swe-agent holds a health index of 96 out of 100, placing it in the Exceptional band. It scores highest on Vitality (95/100) and lowest on Sustainability & Governance (67/100). It was last updated 2 days ago. A single contributor accounts for most of its recent work.

overall / 100

Exceptional

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.

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 83 is calibrated to 96 on the published index scale (record calibration 2026-08-02).

Ownership

SWE-agentOrganization

459 followers10 public repossince Apr 2024

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	mini-swe-agent	2.4.6	17,164,639	60	20 days ago	nlp agents code

Metrics by category

Vitality

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

95Exceptional · 21% of overall

Development activity

92Excellent

How it's scored

36/36	Push recency — last push 2 days ago
28.4/36	Commit cadence — 41/52 weeks with commits
18/18	Commit volume — 482 commits in the last year
10/10	OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10

Inputs used

commits_last_year	482
human_commit_share	0.8
days_since_last_push	2
active_weeks_last_year	41

Release discipline

100Exceptional

How it's scored

27/27	Ships releases — 65 releases published
36/36	Release recency — latest release 20 days ago
27/27	Release cadence — a release every ~13.4 days
0/10	OpenSSF Scorecard: Signed-Releases — no data

Inputs used

releases_count	65
latest_release_tag	v2.4.6
releases_from_tags	no
days_since_latest_release	20
mean_days_between_releases	13.4

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?

94Exceptional · 17% of overall

Popularity & adoption

92Excellent

How it's scored

60/60	Stars — 6,428 stars
24.6/25	Forks — 889 forks
7.2/15	Watchers — 21 watchers

Inputs used

forks	889
stars	6,428
watchers	21
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 (MIT)
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	4
has_contributing	yes
has_issue_template	no
has_code_of_conduct	yes
readme_badge_services	shields.io
has_pull_request_template	yes

Ecosystem adoption (downloads)

100Exceptional

How it's scored

80/80	Monthly downloads — 17,164,639 downloads/month across pypi
0/20	Registry dependents — not reported by this ecosystem

Inputs used

packages	mini-swe-agent
dependents	—
ecosystems	pypi
total_downloads	—
monthly_downloads	17,164,639
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?

67Good · 23% of overall

Maintainer resilience (bus factor)

35Weak

How it's scored

9/54	Bus factor — 1 contributor(s) cover half of all commits
2.3/22.5	Commit distribution — top contributor authored 90% of commits
13.5/13.5	Contributor breadth — 37 contributors
10/10	OpenSSF Scorecard: Contributors — project has 20 contributing companies or organizations

Inputs used

bus_factor	1
contributors_sampled	37
top_contributor_share	0.897

Issue & PR responsiveness

70Good

How it's scored

39.6/42	Issue resolution — 94% of issues closed
25.8/30	PR acceptance — 554/643 decided PRs merged
0/13	Newcomer PR acceptance — 0/1 first-time contributors' PRs merged in 30d
4.5/15	OpenSSF Scorecard: Code-Review — Found 8/22 approved changesets -- score normalized to 3

Inputs used

merged_prs	554
open_issues	15
closed_issues	245
prs_merged_7d	0
prs_decided_7d	0
prs_merged_30d	1
prs_decided_30d	2
issue_closed_ratio	0.942
closed_unmerged_prs	89
first_time_authors_30d	1
first_time_prs_merged_30d	0
first_time_prs_decided_30d	1

Ownership & stewardship

77Good

How it's scored

30/30	Ownership backing — organization-owned
0/20	Verified domain — verified-domain status not read for this organization
19.1/25	Owner reach — 459 followers of SWE-agent
12.3/25	Track record — 10 public repos, account ~2 yr old

Inputs used

followers	459
owner_type	Organization
is_verified	—
owner_login	SWE-agent
public_repos	10
account_age_days	860

Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.

Package maintenance

100Exceptional

How it's scored

25/25	Published & resolvable — 1 package(s) on pypi
35/35	Publish recency — latest publish 20 days ago
20/20	Version history — 60 published versions
20/20	Not deprecated — active, not deprecated or yanked

Inputs used

packages	mini-swe-agent
ecosystems	pypi
any_deprecated	no
min_days_since_publish	20

Engineering Quality

Are baseline engineering and documentation practices in place?

92Excellent · 19% of overall

Engineering practices

94Exceptional

How it's scored

24/24	CI workflows — 6 workflow(s)
24/24	Tests present
16/16	Linter config
9.6/9.6	Pre-commit hooks
0/6.4	.editorconfig
20/20	OpenSSF Scorecard: CI-Tests — 22 out of 22 merged PRs checked by a CI test -- score normalized to 10

Inputs used

has_ci	yes
has_tests	yes
has_editorconfig	no
has_linter_config	yes
has_precommit_config	yes

Documentation

90Excellent

How it's scored

30/30	README
25/25	Documentation directory
15/15	Documentation / homepage site — https://mini-swe-agent.com
10/10	Repository description
10/10	Topics — 6 topics
0/10	Wiki

Inputs used

topics	agent, agentic-ai, agentic-ai-cli, ai, ai-agent, textual
has_wiki	no
homepage	https://mini-swe-agent.com
docs_site	https://mini-swe-agent.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?

69Good · 16% of overall

Security posture

61Moderate

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
2.5/2.5	CI-Tests — 22 out of 22 merged PRs checked by a CI test -- score normalized to 10
0/2.5	CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5	Code-Review — Found 8/22 approved changesets -- score normalized to 3
2.5/2.5	Contributors — project has 20 contributing companies or organizations
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 11 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
0/5	SAST — SAST tool is not run on all commits -- score normalized to 0
5/5	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	17
scorecard_version	v5.5.0
checks_inconclusive	1
scorecard_aggregate	6.1

Excluded from scoring (no data or not applicable): 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	71
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:mini-swe-agent@2.4.6 runtime dependency closure — what installing the published package pulls in — 71 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.

71Good · 4% of overall

Agent context & guidance

78Good

How it's scored

45/45	Agent instructions — .github/copilot-instructions.md, AGENTS.md, CLAUDE.md
0/15	Machine-readable docs (llms.txt)
33.3/40	Legible commit history — 50 of 80 human commits state their intent (structured subject or explanatory body)

Inputs used

has_llms_txt	no
llms_txt_url	—
legible_history_share	0.625
agent_instruction_files	.github/copilot-instructions.md, AGENTS.md, CLAUDE.md
agent_instruction_max_bytes	4,260

Verify loop (build / test / typecheck)

62Moderate

How it's scored

0/18	One-command bootstrap
22/22	Automated tests
11/11	Lint / format config
11/11	Static type checking — src/minisweagent/py.typed
0/10	Reproducible environment
10/10	Demonstrated agent practice — 6 of the last 100 commits agent-authored or agent-credited
8/8	Automated maintenance — 5 of the last 100 commits are automated dependency updates
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	no
typed_language	no
bootstrap_files	—
has_devcontainer	no
has_linter_config	yes
typecheck_configs	src/minisweagent/py.typed
agent_commit_share	0.06
toolchain_manifests	—
dependency_bot_commit_share	0.05

Code legibility for models

82Excellent

How it's scored

27/45	Type-checkable code — Python with type-check config (src/minisweagent/py.typed)
55/55	Manageable file sizes — 0/115 source files over 60KB

Inputs used

primary_language	Python
largest_source_bytes	46,739
source_files_sampled	115
oversized_source_files	0

Key facts

6,428GitHub stars

37contributors

482commits, last 12 months

2days since last push

65releases

1bus factor

15open issues

PyPIpackage ecosystems

Data collection warnings

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

More detail

Star and fork history 0 ★ / 889 ⇿

0Stars

889Forks

59Releases

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.

Major 1Minor 20Patch 35

OpenSSF Scorecard 6.1 / 10

6.1aggregate

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 · 2026-08-12 22:32 UTC

10	Binary-Artifacts	no binaries found in the repo
0	Branch-Protection	branch protection not enabled on development/release branches
10	CI-Tests	22 out of 22 merged PRs checked by a CI test -- score normalized to 10
0	CII-Best-Practices	no effort to earn an OpenSSF best practices badge detected
3	Code-Review	Found 8/22 approved changesets -- score normalized to 3
10	Contributors	project has 20 contributing companies or organizations
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 11 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
0	SAST	SAST tool is not run on all commits -- score normalized to 0
10	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 14

Registry	Package	Version constraint	Manifest
PyPI	pyyaml	`—`	pyproject.toml
PyPI	requests	`—`	pyproject.toml
PyPI	jinja2	`—`	pyproject.toml
PyPI	pydantic	`>= 2.0`	pyproject.toml
PyPI	litellm	`>= 1.75.5, != 1.82.7, != 1.82.8`	pyproject.toml
PyPI	tenacity	`—`	pyproject.toml
PyPI	rich	`—`	pyproject.toml
PyPI	python-dotenv	`—`	pyproject.toml
PyPI	typer	`—`	pyproject.toml
PyPI	platformdirs	`—`	pyproject.toml
PyPI	textual	`—`	pyproject.toml
PyPI	prompt_toolkit	`—`	pyproject.toml
PyPI	datasets	`—`	pyproject.toml
PyPI	openai	`!= 1.100.0,!=1.100.1`	pyproject.toml

All dependencies 14

Full resolved dependency set from the GitHub dependency graph: 14 direct and 0 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

Registry	Package	Version	Relation
PyPI	datasets	`—`	direct
PyPI	jinja2	`—`	direct
PyPI	litellm	`—`	direct
PyPI	openai	`—`	direct
PyPI	platformdirs	`—`	direct
PyPI	prompt-toolkit	`—`	direct
PyPI	pydantic	`—`	direct
PyPI	python-dotenv	`—`	direct
PyPI	pyyaml	`—`	direct
PyPI	requests	`—`	direct
PyPI	rich	`—`	direct
PyPI	tenacity	`—`	direct
PyPI	textual	`—`	direct
PyPI	typer	`—`	direct

Dependency advisories 0

Installing pypi:mini-swe-agent@2.4.6 pulls in 71 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.

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 v0.31.0 — full methodology · metrics wiki.

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

Software health index

Score profile

Ownership

Package ecosystems

Metrics by category

Key facts

Data collection warnings

More detail

Feedback

Related records