Öffentliches Register
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-25 04:56 UTC

PivotLLM / spawnllm

LLM-dispatch core for the ClawEh ecosystem (provider clients + tool loop; dependency-free)

GoMIT★ 0 Sterne⑂ 0 Forksseit Juni 2026Auf GitHub ansehen ↗

PivotLLM/spawnllm erreicht einen Gesundheitsindex von 38 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Vitality (64/100) ab, am schwächsten bei Community & Adoption (24/100). Zuletzt vor 4 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

38
gesamt / 100
Gefährdet

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

38
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

PivotLLMOrganisation
1 Follower9 öffentliche Reposseit Apr. 2025

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
Gogithub.com/PivotLLM/spawnllmv0.1.7-8vor 4 Tagen

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

64Mittel · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 4 Tagen
2.8/36Commit-Rhythmus — 4/52 Wochen mit Commits
9.4/18Commit-Volumen — 10 Commits im letzten Jahr
0/10OpenSSF Scorecard: Maintained — project was created within the last 90 days. Please review its contents carefully
Verwendete Eingangsdaten
commits_last_year10
human_commit_share
days_since_last_push4
active_weeks_last_year4
Wie die Bewertung erfolgt
16.2/27Liefert Releases aus — 8 Versions-Tags (keine GitHub-Releases)
36/36Release-Aktualität — letztes Release vor 4 Tagen
27/27Release-Rhythmus — ein Release etwa alle 4,3 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count8
latest_release_tagv0.1.7
releases_from_tagsja
days_since_latest_release4
mean_days_between_releases4,3
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

24Kritisch · 18 % des Gesamtindex
Wie die Bewertung erfolgt
0/60Stars — 0 Stars
0/25Forks — 0 Forks
0/15Watcher — 0 Watcher
Verwendete Eingangsdaten
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

34Gefährdet · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
0/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 100 % der Commits
1.4/13.5Breite der Beitragenden — 1 Beitragende
0/10OpenSSF Scorecard: Contributors — project has 0 contributing companies or organizations -- score normalized to 0
Verwendete Eingangsdaten
bus_factor1
contributors_sampled1
top_contributor_share1
Wie die Bewertung erfolgt
0/46.8Issue-Lösungsquote — keine Issues oder keine Daten
0/38.3PR-Annahme — keine entschiedenen Pull Requests oder keine Daten
0/15OpenSSF Scorecard: Code-Review — Found 0/10 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs0
open_issues0
closed_issues0
issue_closed_ratio
closed_unmerged_prs0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Issue-Lösungsquote, PR-Annahme. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
2.2/25Reichweite des Inhabers — 1 Follower von PivotLLM
9.8/25Kontohistorie — 9 öffentliche Repos, Kontoalter ca. 1 Jahre
Verwendete Eingangsdaten
followers1
owner_typeOrganization
is_verified
owner_loginPivotLLM
public_repos9
account_age_days467

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf go
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 4 Tagen
20/20Versionshistorie — 8 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesgithub.com/PivotLLM/spawnllm
ecosystemsgo
any_deprecatednein
min_days_since_publish4

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

38Gefährdet · 20 % des Gesamtindex
Wie die Bewertung erfolgt
0/24CI-Workflows
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cinein
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirnein
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

26Kritisch · 16 % des Gesamtindex

Sicherheitslage

26Kritisch
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — keine Daten
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/10 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
0/10Dangerous-Workflow — keine Daten
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
0/7.5Maintained — project was created within the last 90 days. Please review its contents carefully
0/5Packaging — keine Daten
0/5Pinned-Dependencies — keine Daten
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — keine Daten
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated12
scorecard_versionv5.5.0
checks_inconclusive6
scorecard_aggregate2,6
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, dangerous_workflow, packaging, pinned_dependencies, signed_releases, token_permissions. Die verbleibenden Gewichte wurden renormalisiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

54Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
12.6/18Bootstrap mit einem Befehl — go.mod (Toolchain-Konvention, kein Task-Runner)
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — Go (statisch typisiert)
10/10Reproduzierbare Umgebung — lockfile
0/10Belegte Agentenpraxis — keine Daten
0/8Automatisierte Wartung — keine Daten
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesgo.sum
has_dockerfilenein
typed_languageja
bootstrap_files
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share
toolchain_manifestsgo.mod
dependency_bot_commit_share
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung, OpenSSF Scorecard: Pinned-Dependencies. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
45/45Typprüfbarer Code — Go (statisch typisiert)
55/55Handhabbare Dateigrößen — 0/64 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageGo
largest_source_bytes53.812
source_files_sampled64
oversized_source_files0

Eckdaten

0GitHub-Sterne
1Mitwirkende
10Commits, letzte 12 Monate
4Tage seit letztem Push
8Releases
1Bus-Faktor
0offene Issues
GoPaket-Ökosysteme

Warnungen zur Datenerhebung

  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Weitere Details

OpenSSF Scorecard 2.6 / 10
2.6Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-25 04:56 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
k. A.CI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/10 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
k. A.Dangerous-Workflowno workflows found
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
k. A.Packagingpackaging workflow not detected
k. A.Pinned-Dependenciesno dependencies found
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
k. A.Token-PermissionsNo tokens found
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 3
RegistryPaketVersionsvorgabeManifest
Gogithub.com/PivotLLM/toolspecv0.1.0go.mod
Gogithub.com/anthropics/anthropic-sdk-gov1.51.0go.mod
Gogithub.com/google/uuidv1.6.0go.mod
Alle Abhängigkeiten nicht erhoben

Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

JSON-Rohbericht maschinenlesbar
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          "oid": "fdaaadededf3e93e8daa73c40e3d4e8b32a29971",
          "body": "CursorCliProvider drives the Cursor agent CLI as a subprocess, mirroring the\nClaude CLI provider: prompt on stdin, base args `-p --output-format json`,\nand it parses the {type, subtype, is_error, result, usage} JSON envelope. The\nusage fields are camelCase (inputTokens/outputTokens/cacheReadTokens/\n\n[…]\ners like cursor-agent/cursor-cli/cursor are skipped). Approval-bypass\nflags (e.g. --yolo) are supplied by the host via ExtraArgs, not baked in.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(cursor): add Cursor CLI provider",
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          "author_login": "securityguy",
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          "body_truncated": true,
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        },
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          "oid": "f64e5ceeabf01f751d97fd34cae7ed803676d6f1",
          "body": "FailoverFormat was the only non-retriable reason, so a 400 made the fallback\nchain give up on the first candidate instead of trying the next model. But a\nprovider-specific 400 — e.g. DeepSeek thinking-mode demanding reasoning_content\nthat another provider never requires — is exactly when fallback sh\n[…]\normat errors (image dimension/size) are short-circuited in the image fallback\npath itself, not via IsRetriable, so image behavior is unchanged.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(failover): make 400/format errors retriable so chains fall back",
          "author_name": "Eric Jacksch",
          "author_login": "securityguy",
          "committed_at": "2026-07-18T22:26:39Z",
          "body_truncated": true,
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        },
        {
          "oid": "7607353b0dc8538c5b43fee0658eabd673c1e755",
          "body": "…vision)\n\nThe Responses API accepts an image/file content array as a function output, so a\ntool that returns an image (e.g. an MCP screenshot) can hand it directly to a vision\nmodel via its tool result. buildInput's \"tool\" case now builds the\nfunction_call_output \"output\" as a content-part array (in\n[…]\n carries Media, and a plain string otherwise. Chat Completions\ntool messages remain text-only (unchanged) — that path uses a user turn instead.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(responses): support images in function_call_output (tool-result …",
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          "body": "OpenRouter's per-key daily cap returns HTTP 403 with body \"Key limit exceeded\n(daily limit)\". The status-based rule classified 401/403 as auth, so a spend/usage\nlimit surfaced as \"auth failed\" and parked the whole provider under billing/auth\nsemantics. Add a generic \"limit exceeded\" body/message rul\n[…]\nefore the status rule. Token/context limits also say \"limit\nexceeded\", so contextLimitPatterns is ruled out first, keeping those context_limit.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(classifier): treat \"... limit exceeded\" 403 as rate_limit, not auth",
          "author_name": "Eric Jacksch",
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          "body": "…thropic_messages\n\nExtend the common.TextDeltaOption/TextDeltaFunc streaming contract\n(already in openai_compat/openai_responses) to the remaining HTTP\nproviders. Gated on a non-nil callback; single-shot paths byte-for-byte\nunchanged when absent.\n\n- azure: response is identical to OpenAI chat/comple\n[…]\n existing parser.\n\nTests per provider + non-streaming-unchanged assertions. CLI providers\nunchanged (they don't stream). go test / -race green.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(streaming): add delta-callback streaming to azure, anthropic, an…",
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          "body": "Covers the no-backend no-op default, level routing (debug/info/warn/error) with\ncomponent + fields pass-through, LogMessageContent reflection, and SetBackend(nil)\nrestoring the silent no-op.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "logger: test the host-injectable logging seam (0% -> 100%)",
          "author_name": "Eric Jacksch",
          "author_login": "securityguy",
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          "body": "…sors\n\nBrings the provider client + subpackage test suites over from ClawEh (white-box\ntests of the moved code), and exposes two small accessors hosts use to verify\nconstruction (CLI Workspace(), SplitModelKey — the inverse of ModelKey).\nFactory/config-coupled test cases stayed in ClawEh.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "spawnllm: migrate provider tests; add Workspace()/SplitModelKey acces…",
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          "body": "New(...Option) builds a disposable single-provider Worker; Run dispatches it to\ncompletion. CLI providers get a single call (the CLI self-drives tools); API\nproviders run a lean LLM-tool-call loop over host-injected toolspec.ToolDefinition\nhandlers until the model stops requesting tools or the itera\n[…]\n directly\n(tests/advanced). Tests cover the API loop, tool execution + error feedback,\nmax-iterations, CLI single-call, and options validation.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "spawnllm: ProviderSpec worker + lean tool loop",
          "author_name": "Eric Jacksch",
          "author_login": "securityguy",
          "committed_at": "2026-06-20T19:00:17Z",
          "body_truncated": true,
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          "oid": "d2542c847c4372158527b43b3ec52ee6f5ee4a61",
          "body": "The provider layer (protocol DTOs, the LLMProvider interface, and the API/CLI\nclients: openai-chat/responses, azure, anthropic, anthropic-messages, and the\nclaude/codex/gemini CLI providers) moves out of ClawEh's pkg/providers into this\nstandalone, dependency-free module so ClawEh and Maestro can sh\n[…]\nackage (SetBackend). The\nauth/config-coupled bits (credential lookup, config→options mapping, dispatcher,\nfallback, cooldown) stay in the host.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "spawnllm: extract LLM provider clients + dispatch core from ClawEh",
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                "max_points": 46.75
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              {
                "key": "pr_acceptance",
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                "detail": "no decided pull requests or no data",
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                  {
                    "code": "no_decided_prs_or_data",
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                "max_points": 38.25
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                "key": "openssf_scorecard_code_review",
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          {
            "key": "stewardship",
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                "key": "ownership_backing",
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                "detail": "organization-owned",
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                "status": "met",
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                    "code": "owner_organization",
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                "key": "verified_domain",
                "name": "Verified domain",
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                "max_points": 20
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              {
                "key": "owner_reach",
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                "key": "track_record",
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                "points": 9.8,
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                    "code": "public_repos",
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                    "code": "account_age_years",
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                      "years": 1
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                "max_points": 25
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            "key": "package_maintenance",
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            "note": null,
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              "ecosystems": "go",
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                "key": "published_resolvable",
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                "max_points": 35
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                "key": "version_history",
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                "detail": "8 published versions",
                "points": 20,
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                "details": [
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                "max_points": 20
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                "key": "not_deprecated",
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                "points": 20,
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        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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        "key": "engineering",
        "band": "at_risk",
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        "weight": 0.2,
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                "code": "excluded_no_data",
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                "key": "tests_present",
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                "key": "linter_config",
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              {
                "key": "pre_commit_hooks",
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                "points": 0,
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              {
                "key": "editorconfig",
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              {
                "key": "openssf_scorecard_ci_tests",
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            "key": "documentation",
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                "key": "documentation_directory",
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                "key": "documentation_homepage_site",
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        "weight": 0.16,
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              {
                "key": "branch_protection",
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                "key": "code_review",
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                "key": "contributors",
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                "max_points": 10
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              {
                "key": "fuzzing",
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              {
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              {
                "key": "packaging",
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                "status": "excluded",
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                "key": "pinned_dependencies",
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                "max_points": 5
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              {
                "key": "sast",
                "name": "SAST",
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                "status": "missed",
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              {
                "key": "security_policy",
                "name": "Security-Policy",
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                "max_points": 7.5
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                "key": "token_permissions",
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                "status": "excluded",
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                    "code": "no_data",
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                "max_points": 7.5
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        "key": "ai_readiness",
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        "name": "AI Readiness",
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        "weight": 0,
        "metrics": [
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            "name": "Agent context & guidance",
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                "code": "excluded_no_data",
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                "key": "agent_instructions",
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                "status": "missed",
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          {
            "key": "ai_verify_loop",
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            "notes": [
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                "code": "excluded_no_data",
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                "key": "demonstrated_agent_practice",
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  },
  "warnings": [
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-25T04:56:08.453429Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/PivotLLM/spawnllm.svg",
  "full_name": "PivotLLM/spawnllm",
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}

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