Public record
Software health reportschema 0.14.0 · metrics 2.10.0 · 2026-07-19 01:35 UTC

tony / agentgrep

Search history local agents for prompts and conversations (Codex, Claude, Cursor, agy, grok, pi, opencode)

PythonMIT★ 4 stars⑂ 0 forkssince May 2026View on GitHub ↗
KindMCP serverLibraryTerminal interfacehow this is determined
#agent-history#claude-code-history#cli#codex-history#fastmcp#gemini-history#llm-history#mcp#model-context-protocol#prompt-history#agent-prompt-history#llm-history-mcp#llm-prompt-history#grok#grok-build#agy#grok-cli

tony/agentgrep holds a health index of 60 out of 100, placing it in the Moderate band. It scores highest on AI Readiness (79/100) and lowest on Community & Adoption (35/100). It was last updated today. A single contributor accounts for most of its recent work.

60
overall / 100
Moderate

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.

60
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 57 is calibrated to 60 on the published index scale (record calibration 2026-08-02).

Ownership

Tony NarlockPersonal account
418 followers637 public repossince Sep 2008Narlock Systems

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
PyPIagentgrep0.1.0a382,422390 days agoagent-historyaiantigravityclaudecodexcopilotcursorgeminigrokmcpopencodepisearchvscode

Metrics by category

Vitality

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

70Good · 21% of overall

Development activity

61Moderate
How it's scored
36/36Push recency — last push 0 days ago
6.9/36Commit cadence — 10/52 weeks with commits
18/18Commit volume — 1,206 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_year1,206
human_commit_share—
days_since_last_push0
active_weeks_last_year10

Release discipline

84Excellent
How it's scored
27/27Ships releases — 1 releases published
36/36Release recency — latest release 62 days ago
12.6/27Release cadence — cadence unknown (single release)
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count1
latest_release_tagv0.1.0a1
releases_from_tagsno
days_since_latest_release62
mean_days_between_releases—
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?

35Weak · 17% of overall

Popularity & adoption

8Critical
How it's scored
7.7/60Stars — 4 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars4
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

50Moderate
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges—
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Ecosystem adoption (downloads)

56Moderate
How it's scored
45.1/80Monthly downloads — 2,422 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesagentgrep
dependents—
ecosystemspypi
total_downloads—
monthly_downloads2,422
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

Maintainer resilience (bus factor)

20At Risk
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
10/10OpenSSF Scorecard: Contributors — project has 8 contributing companies or organizations
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

54Moderate
How it's scored
18.5/42Issue resolution — 44% of issues closed
28.6/30PR acceptance — 61/64 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/8 approved changesets -- score normalized to 0
Inputs used
merged_prs61
open_issues33
closed_issues26
prs_merged_7d—
prs_decided_7d—
prs_merged_30d—
prs_decided_30d—
issue_closed_ratio0.441
closed_unmerged_prs3
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

67Good
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
18.9/25Owner reach — 418 followers of tony
25/25Track record — 637 public repos, account ~17 yr old
Inputs used
followers418
owner_typeUser
is_verified—
owner_logintony
public_repos637
account_age_days6,504
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 0 days ago
20/20Version history — 39 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesagentgrep
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

77Good · 19% of overall

Engineering practices

68Good
How it's scored
24/24CI workflows — 2 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 5 out of 5 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

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://agentgrep.org
10/10Repository description
10/10Topics — 17 topics
0/10Wiki
Inputs used
topicsagent-history, claude-code-history, cli, codex-history, fastmcp, gemini-history, llm-history, mcp, model-context-protocol, prompt-history, agent-prompt-history, llm-history-mcp, llm-prompt-history, grok, grok-build, agy, grok-cli
has_wikino
homepagehttps://agentgrep.org
docs_sitehttps://agentgrep.org
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

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

38Weak · 16% of overall

Security posture

38Weak
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 5 out of 5 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 0/8 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 8 contributing companies or organizations
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
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.8
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

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.

79Good · 4% of overall

Agent context & guidance

75Good
How it's scored
45/45Agent instructions — AGENTS.md, CLAUDE.md, docs/AGENTS.md, docs/CLAUDE.md, docs/backends/claude.md, docs/backends/gemini.md
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_filesAGENTS.md, CLAUDE.md, docs/AGENTS.md, docs/CLAUDE.md, docs/backends/claude.md, docs/backends/gemini.md
agent_instruction_max_bytes39,376
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.

Verify loop (build / test / typecheck)

74Good
How it's scored
18/18One-command bootstrap — docs/justfile, justfile
22/22Automated tests
0/11Lint / format config
11/11Static type checking — src/pytest_documentation/py.typed
10/10Reproducible environment — lockfile
0/10Demonstrated agent practice — no data
0/8Automated maintenance — no data
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespnpm-lock.yaml, uv.lock
has_dockerfileno
typed_languageno
bootstrap_filesdocs/justfile, justfile
has_devcontainerno
has_linter_configno
typecheck_configssrc/pytest_documentation/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

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (src/pytest_documentation/py.typed)
53.3/55Manageable file sizes — 7/227 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes549,043
source_files_sampled227
oversized_source_files7

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 — samples
Inputs used
example_dirssamples
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

4GitHub stars
1contributors
1,206commits, last 12 months
0days since last push
1releases
1bus factor
33open issues
npm, PyPIpackage ecosystems

More detail

OpenSSF Scorecard 3.8 / 10
3.8aggregate

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 · 2026-07-19 01:34 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests5 out of 5 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 0/8 approved changesets -- score normalized to 0
10Contributorsproject has 8 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update 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
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 4
RegistryPackageVersion constraintManifest
PyPIpydantic>=2.11.3pyproject.toml
PyPItextual>=3.2.0pyproject.toml
PyPIfastmcp>=3.0.0pyproject.toml
PyPIrapidfuzz>=3.10.0pyproject.toml
All dependencies 408

Full resolved dependency set from the GitHub dependency graph: 4 direct and 404 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
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PyPIrapidfuzz3.14.5direct
PyPItextual8.2.8direct
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npmteex1.0.1indirect
npmtext-decoder1.2.7indirect
npmtinyexec1.2.4indirect
npmts-dedent2.3.0indirect
npmtslib2.8.1indirect
npmtyped-query-selector2.12.2indirect
npmundici-types8.3.0indirect
npmuse-sync-external-store1.6.0indirect
npmuuid14.0.1indirect
npmwebdriver-bidi-protocol0.4.1indirect
npmwrap-ansi7.0.0indirect
npmwrappy1.0.2indirect
npmws8.21.0indirect
npmy18n5.0.8indirect
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npmyocto-queue1.2.2indirect
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PyPIaccessible-pygments0.0.5indirect
PyPIagentgrep0.1.0a39indirect
PyPIaiofile3.11.1indirect
PyPIalabaster1.0.0indirect
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.14.2indirect
PyPIattrs26.1.0indirect
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PyPIbabel2.18.0indirect
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PyPIcachetools7.1.4indirect
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PyPIcharset-normalizer3.4.9indirect
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PyPIcryptography49.0.0indirect
PyPIcyclopts4.21.0indirect
PyPIdnspython2.8.0indirect
PyPIdocstring-parser0.18.0indirect
PyPIdocutils0.21.2indirect
PyPIemail-validator2.3.0indirect
PyPIexceptiongroup1.3.1indirect
PyPIexecnet2.1.2indirect
PyPIfastmcp-slim3.4.4indirect
PyPIgp-furo-theme0.0.1a34indirect
PyPIgp-libs0.0.19indirect
PyPIgp-sphinx0.0.1a34indirect
PyPIgriffelib2.1.0indirect
PyPIh110.16.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhttpx-sse0.4.3indirect
PyPIidna3.18indirect
PyPIimagesize2.0.0indirect
PyPIiniconfig2.3.0indirect
PyPIjaraco-classes3.4.0indirect
PyPIjaraco-context6.1.2indirect
PyPIjaraco-functools4.6.0indirect
PyPIjeepney0.9.0indirect
PyPIjinja23.1.6indirect
PyPIjoserfc1.7.3indirect
PyPIjsonref1.1.0indirect
PyPIjsonschema4.26.0indirect
PyPIjsonschema-path0.5.0indirect
PyPIjsonschema-specifications2025.9.1indirect
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PyPImarkupsafe3.0.3indirect
PyPImcp1.28.1indirect
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PyPImdurl0.1.2indirect
PyPImore-itertools11.1.0indirect
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PyPIopenapi-pydantic0.5.1indirect
PyPIopentelemetry-api1.43.0indirect
PyPIorjson3.11.9indirect
PyPIpackaging26.2indirect
PyPIpathable0.6.0indirect
PyPIplatformdirs4.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpy-key-value-aio0.4.5indirect
PyPIpycparser3.0indirect
PyPIpydantic-core2.46.4indirect
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PyPIpygments2.20.0indirect
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PyPIpyperclip1.11.0indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-rerunfailures16.4indirect
PyPIpytest-watcher0.6.3indirect
PyPIpytest-xdist3.8.0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpython-multipart0.0.32indirect
PyPIpywin32312indirect
PyPIpywin32-ctypes0.2.3indirect
PyPIpyyaml6.0.3indirect
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PyPIrequests2.34.2indirect
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PyPIsphinx8.2.3indirect
PyPIsphinx-autobuild2025.8.25indirect
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PyPIsphinx-autodoc-fastmcp0.0.1a34indirect
PyPIsphinx-autodoc-typehints-gp0.0.1a34indirect
PyPIsphinx-basic-ng1.0.0b2indirect
PyPIsphinx-copybutton0.5.2indirect
PyPIsphinx-design0.7.0indirect
PyPIsphinx-fonts0.0.1a34indirect
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PyPIsphinxcontrib-devhelp2.0.0indirect
PyPIsphinxcontrib-htmlhelp2.1.0indirect
PyPIsphinxcontrib-jsmath1.0.1indirect
PyPIsphinxcontrib-qthelp2.0.0indirect
PyPIsphinxcontrib-serializinghtml2.0.0indirect
PyPIsphinxext-rediraffe0.3.0indirect
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PyPItyping-extensions4.16.0indirect
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PyPIuc-micro-py2.0.0indirect
PyPIuncalled-for0.3.2indirect
PyPIurllib32.7.0indirect
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PyPIwatchdog6.0.0indirect
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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.