sdlc

Revoir · 54
Indexé dans Registry

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
Qualité58/100 · Prometteur
Confiance54/100 · Do not auto-install
Audit70/100 · Revue nécessaire

Profil de l’actif

Agents de code et de développement

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

Voir la catégorie

Scénario

GitHub automation

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

Adéquation Agent

Claude Code + OpenAI Agents + CLI

Compatible avec Codex, Claude Code, Cursor, CLI ou des Agents personnalisés.

Installer

Prêt

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

Maintenance

À jour

Mis à jour aujourd’hui

Risque

Revue nécessaire

La licence est ambiguë

Qualité GitHub

44

58/100 Qualité · 62/100 Confiance

Tags de couverture

CodingGitHub automationDesign et créationagent-skill

Notes de revue

La licence est ambiguë · Dependency or permission surface needs review

Carte d’adoption Agent

Confiance, audit et préparation à l’installation en un coup d’œil

Ces scores combinent les métadonnées publiques du dépôt, les signaux de revue OpenAgentSkill, la fraîcheur de maintenance et la préparation à l’installation. Ils servent à présélectionner et ne remplacent pas la revue humaine.

Qualité

Prometteur
58

Useful candidate, but compare it with alternatives before adopting.

Confiance

Do not auto-install
54

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

Audit

Revue nécessaire
70

Revue lisible par machine de la préparation à l’installation, des métadonnées de sécurité, de la maintenance et du risque d’adoption.

Trust Score OpenAgentSkill v5

Revue humaine avant installation

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

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

44 stars GitHub

Activité du dépôt

44 stars et 6 forks

Maintenance

Mis à jour aujourd’hui

Licence

Inconnu

Installer

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

Sécurité d’installation

Chemin d’installation standard de package ou runtime

Surface de permissions

secrets or environment access, shell or command execution

Résultats Agent

Pas encore de données de résultats Agent

Documentation

Contexte README/SKILL.md solide

Résumé des risques

Revoir avant production

  • Repository license is unknown; no explicit license file or declaration in SKILL.md.
  • La licence est ambiguë
  • Low GitHub adoption signal
  • Quality score needs review

Préparation à l’installation

Chemin d’installation disponible

  • Le chemin d’installation est disponible
  • La preuve du dépôt est disponible
  • La licence est ambiguë
  • Pas encore de preuve de résultat Agent-Proven

Métadonnées lisibles par Agent

Données de décision lisibles par machine pour ce skill.

Utilisez ce bloc ou le JSON intégré pour décider si un Agent doit installer ce skill, choisir une alternative ou demander d’abord une revue humaine.

Ouvrir JSON

Tâches adaptées

  • Workflows d’Agents de recherche
  • Équipes Claude Code
  • builders willing to evaluate younger projects
  • Sources de recherche

Agents adaptés

CodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Décision d’installation

Commande
npx skills add BaseInfinity/claude-sdlc-harness --skill sdlc
Politique
Bloquer
Revue humaine
Oui

Confiance et risque

Confiance
54/100
Audit
70/100
Niveau de risque
Revue nécessaire

Boucle de résultat

Endpoint
/api/agent/outcome
ID d’événement
resolve
Résultats
5

Commande d’installation

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

Ne pas utiliser quand

  • Équipes qui nécessitent un SLA soutenu par le fournisseur
  • 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

Sécurité Agent v2

26/100 · Éviter l’installation automatique

Blocked for auto-installBloquer

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.

Résoudre via API

Élevé

Exécution shell ou de commande

Les métadonnées de la skill font référence à des workflows de terminal, CLI, shell, sous-processus ou exécution de commande.

Moyen

Browser automation

Skill may drive a browser or interact with web pages.

Moyen

Accès réseau

La skill récupère probablement des pages distantes, API, dépôts ou services externes.

Moyen

Accès au système de fichiers

La skill peut lire ou écrire des fichiers de projet, documents, artefacts générés ou l’état local de l’espace de travail.

  • Indices de permissions à haut risque : Shell or command execution, Secrets or environment access
  • La licence est ambiguë

Cibles d’installation

Installer ce skill dans votre workflow Agent

Utilisez le point de terminaison public pour récupérer la commande, la checklist, les prompts et les liens canoniques.

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

Plan de résolution Agent

Laissez un Agent vérifier la pertinence avant l’installation.

L’API Resolve renvoie la skill sélectionnée, des alternatives, la politique de sécurité, les notes d’audit, la cible d’installation et un prompt prêt à l’emploi.

Ouvrir le plan texte

L’Agent doit vérifier

  • 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.

Copier le prompt

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.

Relais Agent

Donnez à l’Agent le chemin d’installation, pas un autre annuaire.

Utilisez le point de terminaison public pour récupérer la commande, la checklist, les prompts et les liens canoniques.

Ouvrir l’API d’installation

Prompt Agent

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

Métadonnées Registry

Profil lisible par Agent pour la sélection automatique de skills.

L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.

Ouvrir Manifest

Adéquation Agent

57/100

Agents de recherche

Plateformes

Claude Code, OpenAI Agents

Rapport d’audit

Revue nécessaire · 70/100

Revue lisible par machine de la préparation à l’installation, des métadonnées de sécurité, de la maintenance et du risque d’adoption.

Voir le rapport d’auditVoir le rapport d’évaluation

Panneau de décision Agent

Needs validation for Research agents

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

57
Préparation
Revoir
Étape

Rôle dans la pile

Validation nécessaire

Pertinence principale

Agents de recherche

Libellé de confiance

Revue manuelle nécessaire

Chemin d’installation

Commande prête

À utiliser lorsque

  • Workflows d’Agents de recherche
  • Équipes Claude Code
  • builders willing to evaluate younger projects

Preuves

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

revoir d’abord

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

Chemin d’implémentation

  1. 1Installez-le dans un Agent en sandbox et exécutez une tâche de Agents de recherche de bout en bout.
  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.

Profil de confiance

Do not auto-install

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

54
Trust Score OpenAgentSkill

Adoption GitHub

Vérifier

44 stars GitHub

Activité stars/forks

Vérifier

44 stars et 6 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles

Maintenance récente

Validé

Mis à jour aujourd’hui

Clarté de licence

Vérifier

Inconnu

Signaux positifs

  • Revue IA approuvée
  • Le chemin d’installation est disponible
  • La preuve du dépôt est disponible
  • Dépôt maintenu récemment
  • La commande d’installation ne présente aucun motif de haut risque évident
  • La boucle de résultats est prête mais nécessite la première exécution réelle de l’Agent

Réviser avant installation

  • Repository license is unknown; no explicit license file or declaration in SKILL.md.
  • La licence est ambiguë
  • 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
  • Pas encore de rapports de résultats Agent réels
  • Une revue humaine est requise avant une installation sans surveillance

Action recommandée

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

Profil qualité

Prometteur candidat pour les workflows Agent

Useful candidate, but compare it with alternatives before adopting.

58
Stars GitHub
44
Actualité
Aujourd’hui
Prêt à installer
Oui
Licence
Inconnu
Réviser avant installation: Low GitHub adoption signal · Repository license is unknown; no explicit license file or declaration in SKILL.md.

Adéquation au workflow

Utilisez cette skill dans ces scénarios

Adéquation au workflow

Ajouter à un workflow complet

Liste d’alternatives

Comparer avant installation

Similar skills that may fit this task.

Tout comparer

Vue d’ensemble

--- 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

Détails techniques

Version
1.0.0
Licence
Unknown
Dernière mise à jour
23 août 2026
Publié
23 août 2026

Instantané de décision

Validation nécessaire

57
Prêt
Revoir
Étape

recent repository activity

Audit

Revue d’installation

Revue d’installation et d’adoption

70
Revue nécessaire
Sécurité
65/100
Maintenance
100/100
Installer
92/100
Ouvrir l’audit completVoir le rapport d’évaluation

Preuves validées par Agent

Preuves validées par Agent

Rapports après resolve, revue, installation et une exécution limitée.

0
Validé
Needs first agent runAuto-installation: revoir d’abordDernier: Inconnu
Taux de réussite
Échec récent
Résultats
0
Qualité de sortie
Échecs
0
Non pertinent
0
Installations
0
Bloqué par le risque
0
Configuration requise
0
Production
0

Aucune donnée de résultat Agent pour l’instant. La première exécution peut signaler succès, besoin de configuration, blocage de risque, échec ou non-pertinence via /api/agent/outcome.

Installer

Ajouter au workflow Agent

Gratuit et open source. Examinez le rapport avant l’installation dans des Agents de production.

Boucle de croissance

Kit de partage

X

Brouillon guidé par scénario pour sdlc, prêt pour une publication manuelle sur X.

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

44 stars

https://www.openagentskill.com/skills/baseinfinity-sdlc?ref=x
Ouvrir le brouillon X
Réponse facultative avec commande d’installation
Listing + install path for sdlc:
https://www.openagentskill.com/skills/baseinfinity-sdlc?ref=x

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

Source de la fiche

Indexé par Registry

Revendiable

Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur
BaseInfinity
Indexé par
Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

Revendiquer ce skill

Revendication du propriétaire

Revendiquer cette fiche de skill

Cette fiche Indexé par Registry est attribuée à BaseInfinity, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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Ajoutez les badges de preuve à votre README

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[![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)
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Auteur

B

BaseInfinity

@baseinfinity

Adéquation plateforme

Signaux de santé

Stars GitHub
44
Score de qualité
35/100
Dernier push GitHub
23 août 2026
Indications de framework
Inconnu
Vues OpenAgentSkill
0
Copies d’installation
0
Clics sortants
0

Signal de communauté

Indiquez si ce skill semble utile à votre workflow Agent. Les retours agrégés améliorent le classement au fil du temps.

Confiance et sécurité

Do not auto-install

54
  • Adoption GitHub44 stars GitHubVérifier
  • Activité stars/forks44 stars et 6 forks; l’activité des issues n’est pas disponible dans les métadonnées actuellesVérifier
  • Maintenance récenteMis à jour aujourd’huiValidé
  • Clarté de licenceInconnuVérifier
  • Complétude README/SKILL.mdLes métadonnées incluent suffisamment de contexte d’usage et de workflowValidé
  • Risque dépendances/runtimecommand execution surface, credential or environment accessVérifier