sdlc

Prüfen · 54
Im Registry indexiert

Full SDLC workflow for implementing features, fixing bugs, refactoring code, testing, releasing, publishing, and deploying. Use this skill when implementing, fixing, refactoring, testing, adding features, building new code, or releasing/publishing/deploying.

Verified installs0
Stars44
Version1.0.0
Qualität58/100 · Vielversprechend
Vertrauen54/100 · Do not auto-install
Audit70/100 · Prüfung nötig

Asset-Profil

Coding- und Entwickler-Agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Bereich ansehen

Szenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent-Fit

Claude Code + OpenAI Agents + CLI

Geeignet für Codex, Claude Code, Cursor, CLI oder benutzerdefinierte Agents.

Installieren

Bereit

npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc

Wartung

Aktuell

Heute gepusht

Risiko

Prüfung nötig

Lizenz ist unklar

GitHub-Qualität

44

58/100 Qualität · 62/100 Vertrauen

Abdeckungs-Tags

CodingGitHub automationDesign und Kreativitätagent-skill

Review-Notizen

Lizenz ist unklar · Dependency or permission surface needs review

Agent-Adoptionskarte

Vertrauen, Audit und Installationsbereitschaft auf einen Blick

Diese Werte kombinieren öffentliche Repository-Metadaten, OpenAgentSkill-Reviewsignale, Wartungsaktualität und Installationsbereitschaft. Sie helfen bei der Vorauswahl, ersetzen aber keine menschliche Prüfung.

Qualität

Vielversprechend
58

Useful candidate, but compare it with alternatives before adopting.

Vertrauen

Do not auto-install
54

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Prüfung nötig
70

Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.

OpenAgentSkill Trust Score v5

Menschliche Prüfung vor Installation

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

44 GitHub-Stars

Repository-Aktivität

44 Stars und 6 Forks

Wartung

Heute gepusht

Lizenz

Unbekannt

Installieren

npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc

Installationssicherheit

Standard-Paket- oder Laufzeit-Installationspfad

Berechtigungsfläche

secrets or environment access, shell or command execution

Agent-Ergebnisse

Noch keine Agent-Ergebnisdaten

Dokumentation

Starker README/SKILL.md-Kontext

Risikoübersicht

Vor Produktion prüfen

  • Repository license is unknown; no explicit license file or declaration in SKILL.md.
  • Lizenz ist unklar
  • Low GitHub adoption signal
  • Quality score needs review

Installationsbereitschaft

Installationspfad verfügbar

  • Installationspfad ist verfügbar
  • Repository-Belege sind verfügbar
  • Lizenz ist unklar
  • Noch keine Agent-Proven-Ergebnisbelege

Agent-lesbare Metadaten

Maschinenlesbare Entscheidungsdaten für diesen Skill.

Nutze diesen Block oder das eingebettete JSON, um zu entscheiden, ob ein Agent diesen Skill installieren, eine Alternative wählen oder zuerst menschliche Prüfung anfordern soll.

JSON öffnen

Geeignete Aufgaben

  • Research-Agent-Workflows
  • Claude-Code-Teams
  • builders willing to evaluate younger projects
  • Suchquellen

Geeignete Agents

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Installationsentscheidung

Befehl
npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc
Richtlinie
Blockieren
Menschliche Prüfung
Ja

Vertrauen und Risiko

Vertrauen
54/100
Audit
70/100
Risikoebene
Prüfung nötig

Ergebnis-Loop

Endpoint
/api/agent/outcome
Event-ID
resolve
Ergebnisse
5

Installationsbefehl

npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc

Nicht verwenden, wenn

  • Teams, die ein vom Anbieter unterstütztes SLA benötigen
  • production agents without a repository review
  • Low GitHub adoption signal
  • Repository license is unknown; no explicit license file or declaration in SKILL.md.
  • No OpenAgentSkill engagement data yet

Agent-Sicherheit v2

26/100 · Automatische Installation vermeiden

Blocked for auto-installBlockieren

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Per API auflösen

Hoch

Shell- oder Befehlsausführung

Die Skill-Metadaten verweisen auf Terminal-, CLI-, Shell-, Subprozess- oder Befehlsausführungs-Workflows.

Mittel

Browser automation

Skill may drive a browser or interact with web pages.

Mittel

Netzwerkzugriff

Die Skill ruft wahrscheinlich Remote-Seiten, APIs, Repositories oder externe Dienste ab.

Mittel

Dateisystemzugriff

Die Skill kann Projektdateien, Dokumente, generierte Artefakte oder den lokalen Arbeitsbereich lesen oder schreiben.

  • Hinweise auf Hochrisiko-Berechtigungen: Shell or command execution, Secrets or environment access
  • Lizenz ist unklar

Installationsziele

Diesen Skill im Agent-Workflow installieren

Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install baseinfinity-sdlc

Agent-Auflösungsplan

Lass einen Agent die Eignung vor der Installation prüfen.

Die Resolve API liefert die beste Skill, Alternativen, Sicherheitsrichtlinien, Auditnotizen, Installationsziel und einen direkt nutzbaren Prompt.

Textplan öffnen

Agent sollte prüfen

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Prompt kopieren

Task: Use sdlc in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20sdlc%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/baseinfinity-sdlc/install
Install command: npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent-Übergabe

Gib dem Agent den Installationspfad, nicht noch ein Verzeichnis.

Über den öffentlichen Endpunkt erhältst du Befehl, Sicherheitscheckliste, Ziel-Prompts und kanonische Links.

Installations-API öffnen

Agent-Prompt

Use sdlc for this task. Review https://www.openagentskill.com/api/skills/baseinfinity-sdlc/install, then install with: npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc

Registry-Metadaten

Agent-lesbares Profil für die automatische Skill-Auswahl.

Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.

Manifest öffnen

Agent-Fit

57/100

Recherche-Agents

Plattformen

Claude Code, OpenAI Agents

Audit-Bericht

Prüfung nötig · 70/100

Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.

Audit-Bericht ansehenEval-Bericht ansehen

Agent-Entscheidungspanel

Needs validation for Research agents

Do a manual repository review before adding this to an agent workflow.

57
Bereitschaft
Prüfen
Phase

Rolle im Stack

Validierung nötig

Primäre Eignung

Recherche-Agents

Vertrauenslabel

Manuelle Prüfung nötig

Installationspfad

Befehl bereit

Verwenden wenn

  • Research-Agent-Workflows
  • Claude-Code-Teams
  • builders willing to evaluate younger projects

Evidenz

  • recent repository activity
  • install command or GitHub repo available
  • Qualitätsprofil 58/100

zuerst prüfen

  • Low GitHub adoption signal
  • Repository license is unknown; no explicit license file or declaration in SKILL.md.
  • No OpenAgentSkill engagement data yet

Implementierungspfad

  1. 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine Recherche-Agents-Aufgabe vollständig aus.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Vertrauensprofil

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

54
OpenAgentSkill Trust Score

GitHub-Akzeptanz

Prüfen

44 GitHub-Stars

Star-/Fork-Aktivität

Prüfen

44 Stars und 6 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar

Aktuelle Wartung

Bestanden

Heute gepusht

Lizenzklarheit

Prüfen

Unbekannt

Positive Signale

  • KI-Prüfung genehmigt
  • Installationspfad ist verfügbar
  • Repository-Belege sind verfügbar
  • Kürzlich gewartetes Repository
  • Der Installationsbefehl weist kein offensichtliches Hochrisikomuster auf
  • Ergebniszyklus ist bereit, benötigt aber den ersten echten Agent-Lauf

Vor Installation prüfen

  • Repository license is unknown; no explicit license file or declaration in SKILL.md.
  • Lizenz ist unklar
  • Low GitHub adoption signal
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • GitHub adoption: 44 GitHub stars
  • Stars/forks activity: 44 stars, 6 forks; issue activity unavailable in current metadata
  • License clarity: Unknown
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • Noch keine echten Agent-Ergebnisberichte
  • Vor unbeaufsichtigter Installation ist menschliche Prüfung erforderlich

Empfohlene Aktion

Choose a stronger alternative or inspect the source manually before any install attempt.

Qualitätsprofil

Vielversprechend Kandidat für Agent-Workflows

Useful candidate, but compare it with alternatives before adopting.

58
GitHub-Stars
44
Aktualität
Heute
Installationsbereit
Ja
Lizenz
Unbekannt
Vor Installation prüfen: Low GitHub adoption signal · Repository license is unknown; no explicit license file or declaration in SKILL.md.

Workflow-Eignung

Diese Skill in diesen Szenarien nutzen

Workflow-Eignung

Zum vollständigen Workflow hinzufügen

Alternativen-Shortlist

Vor Installation vergleichen

Similar skills that may fit this task.

Alle vergleichen

Übersicht

--- name: sdlc description: Full SDLC workflow for implementing features, fixing bugs, refactoring code, testing, releasing, publishing, and deploying. Use this skill when implementing, fixing, refactoring, testing, adding features, building new code, or releasing/publishing/deploying. argument-hint: "[task description]" --- # SDLC Skill - Full Development Workflow

## Skill source & precedence

Loaded from repo-local **`.claude/skills/sdlc/SKILL.md`**, which wins over global `~/.claude/skills/` — the project's authoritative contract. Global is for cross-repo tooling only. Unsure which is active? `head -5` both.

## Task $ARGUMENTS

Operational checklist — **complete on its own**. Full protocol (optional depth, Claude Code installs only): `CLAUDE_CODE_SDLC_WIZARD.md`; if absent, do not hunt for it.

**If the user requests /sdlc, ALWAYS run the full workflow — even for mechanical tasks.** Never silently skip; if overkill, say so and ask.

## Full SDLC Checklist

Your FIRST action must be a task list covering every phase below — `TodoWrite`, or `TaskCreate` where that is what your harness exposes. Compact form (omit `activeForm` to use the subject as the spinner label):

``` TodoWrite([ // PLANNING { content: "Find and read relevant documentation", status: "in_progress" }, { content: "Assess doc health - flag issues (ask before cleaning)", status: "pending" }, { content: "DRY scan: What patterns exist to reuse? New pattern = get approval", status: "pending" }, { content: "Prove It Gate: adding new component? Research alternatives, prove quality with tests", status: "pending" }, { content: "Blast radius: What depends on code I'm changing?", status: "pending" }, { content: "Design system check (if UI change)", status: "pending" }, { content: "Scope card BEFORE work: one issue, acceptance criteria, allowed paths, exclusions, risk tier, estimated diff", status: "pending" }, { content: "Scrutinize test design - right things tested? Follow TESTING.md?", status: "pending" }, { content: "Present approach + STATE CONFIDENCE LEVEL", status: "pending" }, { content: "Signal ready - user exits plan mode", status: "pending" }, // TRANSITION { content: "Doc sync: update or create feature doc — MUST be current before commit", status: "pending" }, // IMPLEMENTATION { content: "TDD RED: failing test FIRST where a RED mutation is writable — watch EACH assertion fail; otherwise three-way call (see TDD proves)", status: "pending" }, { content: "TDD GREEN: Implement, verify test passes", status: "pending" }, { content: "Adding a guard? Name the requested behavior or field it binds to — if none, DO NOT ADD IT, file it (#617)", status: "pending" }, { content: "Run lint/typecheck", status: "pending" }, { content: "Run ALL tests", status: "pending" }, { content: "Production build check", status: "pending" }, // REVIEW { content: "DRY check: Is logic duplicated elsewhere?", status: "pending" }, { content: "Visual consistency check (if UI change)", status: "pending" }, { content: "Security review (if warranted)", status: "pending" }, { content: "Cross-model review (high-stakes)", status: "pending" }, { content: "Scope guard: only changes related to task? No legacy/fallback code left?", status: "pending" }, // CI SHEPHERD { content: "Commit and push to remote", status: "pending" }, { content: "Watch CI - fix failures, iterate until green (max 2x)", status: "pending" }, { content: "Read CI review - implement valid suggestions, iterate until clean", status: "pending" }, { content: "Meta-repo only: run local shepherd if PR needs E2E score (optional)", status: "pending" }, { content: "Post-deploy verification (if deploy task)", status: "pending" }, // FINAL { content: "Present summary: changes, tests, CI status", status: "pending" }, { content: "Capture learnings (TESTING.md, CLAUDE.md, or feature docs)", status: "pending" }, { content: "Close out plan files: mark complete or delete", status: "pending" } ]) ```

## SDLC Quality Checklist (Scoring Rubric)

| Criterion | Points | Critical? | What Counts | |-----------|--------|-----------|-------------| | task_tracking | 1 | | Use TodoWrite or TaskCreate | | confidence | 1 | | State HIGH/MEDIUM/LOW | | tdd_red | 2 | **YES** | Write/edit test files BEFORE implementation files, where a RED mutation is writable (see TDD proves) | | plan_mode_outline | 1 | | Outline steps before coding | | plan_mode_tool | 1 | | Use TodoWrite/TaskCreate/EnterPlanMode | | tdd_green_ran | 1 | | Run tests, show runner output | | tdd_green_pass | 1 | | All tests pass in final run | | self_review | 1 | | Read back files/diffs you modified | | clean_code | 1 | | One coherent approach, no dead code |

**Total: 10 points** (11 for UI tasks, +1 for design_system check). Critical miss on `tdd_red` = process failure regardless of total score — when a RED mutation was writable. Out-of-scope under the three-way call is not a miss.

## Test Failure Recovery

**ALL TESTS MUST PASS. NO EXCEPTIONS.** Test code is app code. Failures are bugs — investigate them like a 15-year SDET, not by brushing aside.

Not acceptable: "those were already failing", "not related to my changes", "it's flaky" (flaky = bug we haven't found yet).

When tests fail: 1. Identify which test(s) failed 2. Diagnose WHY: your code broke it (regression — fix code), test is for deleted code (delete test), test has wrong assertions (fix test), "flaky" (investigate — race, shared state, env) 3. Fix appropriately, run specific test individually first, then run ALL tests 4. Still failing after 2 attempts? Escalate (see Confidence Check) — not straight to the user

## Confidence Check (REQUIRED)

State your confidence before presenting an approach:

| Level | Meaning | Action | Effort | |-------|---------|--------|--------| | HIGH (90%+) | Know exactly what to do | Present, proceed after approval | Model default | | MEDIUM (60-89%) | Solid approach, some uncertainty | Present, highlight uncertainties | Model default | | LOW (<60%) | Not sure | Escalate, don't ask ↓ | **escalate now** (per model, see above) | | FAILED 2x | Something's wrong | Escalate, don't ask ↓ | **escalate now** | | CONFUSED | Can't diagnose | Escalate, don't ask ↓ | **escalate now** |

**Effort bumping is NOT optional** — bump BEFORE the next attempt.

**Confidence ramp:** Opus research → Fable batch review → 95% list → /goal TDD → Codex.

**Uncertainty ≠ a human question.** Use the model/tool evidence available before interrupting a human — escalate to Fable (`advisor()`; if down, a Fable subagent at `high`), then Codex `high`; reserve the user for priority/risk/scope/spend or irreversible calls. **Confidence is not authorization**: a high score never overrides approval, external-effect, production, release/merge or policy gates; merge protections are non-overridable. **Standing instructions stay in force** (wizard doc).

## Plan Mode

Use plan mode for: multi-file changes, new features, LOW confidence, bug investigation. **Skip plan approval step** (auto-approval) when confidence HIGH (95%+) AND single-file/trivial AND no new patterns AND no architectural decisions — still announce approach, don't wait. When in doubt, wait.

## Long-Running Goals (`/goal`)

Native `/goal <condition>` (**v2.1.143+**). Haiku evaluator re-checks transcript per turn. **NEVER invoke below HIGH 95%** — below that it rubber-stamps flailing as progress. **Condition MUST name the DLC** (`/sdlc` etc.) so the evaluator anchors on "doing it right." **Pre-flight:** trusted workspace; `disableAllHooks`/`allowManagedHooksOnly` off. **Condition = contract:** end state + check + constraints + hard bound; e.g. `/goal "tests pass + clean tree following /sdlc, stop after 20 turns"`. Evaluator can't call tools; `--resume` resets counters.

## Recommended Model

**Recommended: Opus 5 `high`** for complex projects, `medium` for routine web/CRUD; escalate `xhigh` only for genuinely hard runs. **Sonnet 5 `medium`** for simple work. Pin `claude-opus-4-8` for a same-family escape. **Effort is model-aware, not blanket `max`** — set via `/effort` per session, never a shell-rc env var (overrides post-switch). `/model` persists; picker `s` does not.

**Autocompact: set neither override by default.** For a deliberately earlier boundary use `CLAUDE_CODE_AUTO_COMPACT_WINDOW` alone — a smaller window compacts sooner, and nothing in that range switches compaction off. On **current Opus** a percentage alone is inert unless the window is also set, and then the two multiply; on Sonnet 5 and on a 200K Opus 4.6 pin it is live, so size it against THAT window (#520). **Advisor (v2.1.170+):** `advisorModel: "fable"` works with all drivers above; set in `/claude-setup-wizard` Step 9.5.

## The Review Contract (give BOTH reviewers this, verbatim)

**Grade severity by impact if it shipped.** Not by how hard the fix is. Not by which round found it. Either one gets gamed to open or close a round.

| | | |---|---| | **P0** | Stop the world. Prod broken, data loss, secret leaked. Preempts the task. | | **P1** | This PR does not merge. It doesn't work, or it broke something that did. | | **P2** | Real, should fix, ships fine without it. | | **P3** | Nit. |

**A finding blocks only if it is P0 or P1 and inside the scope card.** Fix a P2 or P3 here only if the diff is small and you already touched the file. Otherwise file it.

**Also answer: is this the right way to build it?** Should this code exist? Is it proportionate? Return **SOUND**, **CONCERN** (ship it, here's the debt), or **WRONG SHAPE** (stop, redesign). No severity level says "this should not exist", so nobody says it. *(#539: four rounds, seven real P1s, guard deleted at the end. WRONG SHAPE ends that at round 1.)*

**File anything outside the scope card as a GitHub issue. Never build it here.** This binds reviewers too: an out-of-card finding gets reported and filed, and does not block certification. *(#520: 20 rounds, 46 lines, nothing to compare growth against.)*

**Do not certify a doc that instructs commands unless the output is pasted.** The other leg can check this, which is the point. Reading catches judgement defects; only running catches wrong commands. *(#572: both legs certified a doc whose update command fails outright.)*

**Review against the issue's acceptance criteria, verbatim.** A stricter bar you invented in your own prompt is self-inflicted scope. *(#553: two rounds on a bar #530 never contained.)*

Ship good code, not perfect code. No glaring issues, right shape. Otherwise you never ship.

## Cross-Model Review (REQUIRED for High-Stakes)

**When to run:** high-stakes changes (auth, payments, data), releases/publishes, complex refactors. **Skip (log justification):** trivial, hotfixes, risk < review cost. **Reviewer:** `gpt-5.6-sol` `high` — adversarial diversity. **Cadence:** Fable during design, Codex once per frozen scope; don't stack both unless the decision needs two independent reviewers.

**Fable decides, Codex checks.** Fable rules on design, priority and sequencing *before* you commit to an approach — not a reviewer of work already done. A second repair to the same component in one cycle is a design question for Fable, not a third patch: review converges on a fix, never on the right design.

**No test costs more rounds than the change it guards.** When a guard accretes rounds past its own change, delete the guard and file the follow-up — the rounds are being spent on the needle, not the risk. #476 spent six on twenty doc lines: four bought real defects, two bought spellings of `sudo`, and the guard was deleted at round six anyway (#551).

PROTOCOL is universal across domains; only `review_instructions` and `verification_checklist` change.

**Handoff/preflight mechanics: wizard doc.** These two stay; improvising them cost real time (#364, #437).

1. **FALSIFY YOUR OWN WORK FIRST — the reviewer is not your test phase.** Before launching a leg, make a checklist with o

Technische Details

Version
1.0.0
Lizenz
Unknown
Letzte Aktualisierung
23. Aug. 2026
Veröffentlicht
23. Aug. 2026

Entscheidungsübersicht

Validierung nötig

57
Bereit
Prüfen
Phase

recent repository activity

Audit

Installationsprüfung

Installations- und Adoptionsprüfung

70
Prüfung nötig
Sicherheit
65/100
Wartung
100/100
Installieren
92/100
Vollständiges Audit öffnenEval-Bericht ansehen

Von Agent belegte Evidenz

Von Agent belegte Evidenz

Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.

0
Belegt
Needs first agent runAuto-Installation: zuerst prüfenLetzter: Unbekannt
Erfolgsrate
Letzter Fehler
Ergebnisse
0
Ausgabequalität
Fehlgeschlagen
0
Nicht relevant
0
Installationen
0
Durch Risiko blockiert
0
Einrichtung erforderlich
0
Produktion
0

Noch keine Agent-Ergebnisdaten. Der erste Lauf kann Erfolg, Einrichtungsbedarf, Risikoblockaden, Fehler oder Irrelevanz über /api/agent/outcome melden.

Installieren

Zum Agent-Workflow hinzufügen

Kostenlos und Open Source. Bericht vor der Installation in Produktions-Agents prüfen.

Wachstums-Loop

Share-Kit

X

Szenariobasierter Entwurf für sdlc, bereit für einen manuellen X-Post.

Kuratorenhinweis
sdlc: Full SDLC workflow for implementing features, fixing bugs, refactoring code, testing, releasi...

44 stars

https://www.openagentskill.com/skills/baseinfinity-sdlc?ref=x
X-Entwurf öffnen
Optionale Antwort mit Installationsbefehl
Listing + install path for sdlc:
https://www.openagentskill.com/skills/baseinfinity-sdlc?ref=x

Install: npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc
Antwortentwurf öffnen

Quelle des Eintrags

Registry-indexiert

Beanspruchbar

Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.

Ersteller
BaseInfinity
Indexiert von
OpenAgentSkill Community-Index

Die Zuordnung verlinkt auf das öffentliche Repository oder Creator-Profil. Creator können den Eintrag beanspruchen, um Eigentümersignale zu aktualisieren.

Diesen Skill beanspruchen

Eigentümeranspruch

Diesen Skill-Eintrag beanspruchen

Dieser Registry-indexiert-Eintrag wird BaseInfinity zugeschrieben, ist aber noch nicht offiziell markiert. Beanspruche ihn, um ein verifiziertes Eigentümersignal hinzuzufügen und künftige Launch-, Installations- und Audit-Updates vertrauenswürdiger zu machen.

Creator-Backlink-Kit

Evidenz-Badges in deine README einfügen

Zeige den kanonischen Eintrag, aktuelle Vertrauens- und Audit-Signale sowie echte Agent-Proven-Evidenz dort, wo Entwickler das Repository bewerten.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/baseinfinity-sdlc?metric=listed&label=Listed)](https://www.openagentskill.com/skills/baseinfinity-sdlc)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/baseinfinity-sdlc?metric=trust&label=Trust)](https://www.openagentskill.com/skills/baseinfinity-sdlc)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/baseinfinity-sdlc?metric=audit&label=Audit)](https://www.openagentskill.com/skills/baseinfinity-sdlc/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/baseinfinity-sdlc?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/baseinfinity-sdlc)

Autor

B

BaseInfinity

@baseinfinity

Gesundheitssignale

GitHub-Stars
44
Qualitätswert
35/100
Letzter GitHub-Push
23. Aug. 2026
Framework-Hinweise
Unbekannt
OpenAgentSkill-Aufrufe
0
Installationskopien
0
Externe Klicks
0

Community-Signal

Teile mit, ob dieser Skill für deinen Agent-Workflow nützlich ist. Zusammengefasstes Feedback verbessert das Ranking im Laufe der Zeit.

Vertrauen & Sicherheit

Do not auto-install

54
  • GitHub-Akzeptanz44 GitHub-StarsPrüfen
  • Star-/Fork-Aktivität44 Stars und 6 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarPrüfen
  • Aktuelle WartungHeute gepushtBestanden
  • LizenzklarheitUnbekanntPrüfen
  • README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
  • Abhängigkeits-/Laufzeitrisikocommand execution surface, credential or environment accessPrüfen