Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-19 01:23 UTC

AlexSkr96 / Taktgeber

Hyperliquid algo trading project

Python · GoNo license detected★ 0 stars⑂ 0 forkssince Apr 2026View on GitHub ↗
KindNetwork serviceLibraryhow this is determined

AlexSkr96/Taktgeber holds a health index of 17 out of 100, placing it in the Critical band. It scores highest on Sustainability & Governance (31/100) and lowest on Community & Adoption (12/100). It was last updated 67 days ago. A single contributor accounts for most of its recent work.

17
overall / 100
Critical

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.

17
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 22 is calibrated to 17 on the published index scale (record calibration 2026-08-02).

Ownership

AlexSkr96Personal account
0 followers16 public repossince Aug 2016

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 publish
Gogithub.com/AlexSkr96/Taktgeber/algo-enginev0.0.2-274 days ago

Metrics by category

Vitality

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

27At Risk · 21% of overall
How it's scored
18/36Push recency — last push 67 days ago
9/36Commit cadence — 13/52 weeks with commits
13.3/18Commit volume — 29 commits in the last year
4/10OpenSSF Scorecard: Maintained — 5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
Inputs used
commits_last_year29
human_commit_share1
days_since_last_push67
active_weeks_last_year13
How it's scored
0/27Ships releases — no releases published
0/36Release recency — no releases
0/27Release cadence — no releases
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count0
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?

12Critical · 17% of overall
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
0/22.5License — no license file detected
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseno
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductno
readme_badge_services—
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

31At Risk · 23% of overall
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
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1
How it's scored
0/42Issue resolution — no issues or no data
0/30PR acceptance — no decided pull requests or no data
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/29 approved changesets -- score normalized to 0
Inputs used
merged_prs0
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio—
closed_unmerged_prs0
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, PR acceptance, Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
10/30Ownership backing — personal (user) account
0/20Verified domain — not applicable to user accounts
0/25Owner reach — 0 followers of AlexSkr96
21/25Track record — 16 public repos, account ~10 yr old
Inputs used
followers0
owner_typeUser
is_verified—
owner_loginAlexSkr96
public_repos16
account_age_days3,722
Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.
How it's scored
25/25Published & resolvable — 1 package(s) on go
35/35Publish recency — latest publish 74 days ago
12/20Version history — 2 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesgithub.com/AlexSkr96/Taktgeber/algo-engine
ecosystemsgo
any_deprecatedno
min_days_since_publish74

Engineering Quality

Are baseline engineering and documentation practices in place?

17Critical · 19% of overall
How it's scored
0/24CI workflows
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_cino
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
0/10Wiki
Inputs used
topics—
has_wikino
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

22At Risk · 16% of overall
How it's scored
5.2/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — no data
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/29 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
0/10Dangerous-Workflow — no data
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
0/2.5License — license file not detected
3/7.5Maintained — 5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — no data
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated13
scorecard_versionv5.5.0
checks_inconclusive5
scorecard_aggregate2.2
Excluded from scoring (no data or not applicable): CI-Tests, Dangerous-Workflow, Packaging, Signed-Releases, Token-Permissions. 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.

21At Risk · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
1.8/40Legible commit history — 1 of 29 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.034
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
12.6/18One-command bootstrap — algo-engine/go.mod, tg-bot/go.mod (toolchain convention, no task runner)
0/22Automated tests
0/11Lint / format config
0/11Static type checking
10/10Reproducible environment — Dockerfile, lockfile
0/10Demonstrated agent practice — no agent-authored commits among the last 29
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsno
lockfilesgo.sum
has_dockerfileyes
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configs—
agent_commit_share0
toolchain_manifestsalgo-engine/go.mod, tg-bot/go.mod
dependency_bot_commit_share0
How it's scored
0/45Type-checkable code — Python without a type-check config
55/55Manageable file sizes — 0/29 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes7,537
source_files_sampled29
oversized_source_files0

Key facts

0GitHub stars
1contributors
29commits, last 12 months
67days since last push
0releases
1bus factor
0open issues
Go, PyPIpackage ecosystems

Data collection warnings

  • Could not fetch go package 'github.com/AlexSkr96/Taktgeber/tg-bot' from its registry
  • Could not fetch pypi package 'hl-gateway' from its registry
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

More detail

OpenSSF Scorecard 2.2 / 10
2.2aggregate

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 · 2026-10-19 01:23 UTC

7Binary-Artifactsbinaries present in source code
0Branch-Protectionbranch protection not enabled on development/release branches
n/aCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/29 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
n/aDangerous-Workflowno workflows found
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
0Licenselicense file not detected
4Maintained5 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 4
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
n/aSigned-Releasesno releases found
n/aToken-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 11
RegistryPackageVersion constraintManifest
Gogithub.com/gorilla/websocketv1.5.3algo-engine/go.mod
Gogithub.com/redis/go-redis/v9v9.19.0algo-engine/go.mod
PyPIfastapi>=0.116,<1hl-gateway/pyproject.toml
PyPIuvicorn>=0.31,<1hl-gateway/pyproject.toml
PyPIhyperliquid-python-sdk>=0.22.0,<1hl-gateway/pyproject.toml
PyPIwebsockets>=12,<16hl-gateway/pyproject.toml
PyPIredis>=5,<6hl-gateway/pyproject.toml
PyPIstructlog>=24,<26hl-gateway/pyproject.toml
PyPIpydantic-settings>=2.5,<3hl-gateway/pyproject.toml
Gogithub.com/AlexSkr96/Taktgeber/algo-enginev0.0.2tg-bot/go.mod
Gogithub.com/go-telegram-bot-api/telegram-bot-api/v5v5.5.1tg-bot/go.mod
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

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 — Go.