repo-context-ledger
Maintain durable, evidence-based repository context whenever an agent initializes a repository, implements or fixes behavior, refactors code, changes an interface, checkpoints or switches tasks, resumes or hands work to another AI tool, collaborates across parallel task sessions,
Profil de l’actif
Recherche et travail de connaissance
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scénario
Agents de recherche
I need my agent to research a topic, compare sources, and produce a concise report.
Adéquation Agent
Claude Code + OpenAI Agents + Cursor
Compatible avec Codex, Claude Code, Cursor, CLI ou des Agents personnalisés.
Installer
Prêt
npx skills add gviiisen/repo-context-ledger --skill repo-context-ledger
Maintenance
À jour
1 jours depuis le dernier push
Risque
Risqué
Permission surface may require sandboxing
Qualité GitHub
72
65/100 Qualité · 69/100 Confiance
Tags de couverture
Notes de revue
Permission surface may require sandboxing · Potential broker, wallet, exchange, or real-money execution surface; sandbox and explicit approval are required
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
PrometteurUseful candidate, but compare it with alternatives before adopting.
Confiance
Sandbox uniquementCandidate utile avec des signaux de confiance incomplets ou mixtes. Gardez-la dans un espace isolé jusqu’à ce que la boucle de résultats confirme son adéquation.
Audit
RisquéRevue 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
Sandbox uniquement
Exécutez uniquement dans un sandbox et comparez les alternatives proches avant usage réel.
Stars
72 stars GitHub
Activité du dépôt
72 stars et 0 forks
Maintenance
1 jours depuis le dernier push
Licence
MIT
Installer
npx skills add gviiisen/repo-context-ledger --skill repo-context-ledger
Sécurité d’installation
Chemin d’installation standard de package ou runtime
Surface de permissions
shell or command execution, filesystem or document access
Résultats Agent
Pas encore de données de résultats Agent
Documentation
Contexte README/SKILL.md solide
Résumé des risques
Revoir avant production
- The SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
Préparation à l’installation
Chemin d’installation disponible
- Le chemin d’installation est disponible
- La preuve du dépôt est disponible
- La licence est déclarée
- 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.
Tâches adaptées
- Workflows d’Agents de recherche
- Équipes Claude Code
- builders willing to evaluate younger projects
- Sources de recherche
Agents adaptés
Décision d’installation
- Commande
- npx skills add gviiisen/repo-context-ledger --skill repo-context-ledger
- Politique
- Bloquer
- Revue humaine
- Oui
Confiance et risque
- Confiance
- 61/100
- Audit
- 76/100
- Niveau de risque
- Risqué
Boucle de résultat
- Endpoint
- /api/agent/outcome
- ID d’événement
- resolve
- Résultats
- 5
Commande d’installation
npx skills add gviiisen/repo-context-ledger --skill repo-context-ledgerNe pas utiliser quand
- Équipes qui nécessitent un SLA soutenu par le fournisseur
- production agents without a repository review
- The SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
- Audit risk risky exceeds max_risk=medium
- Indices de permissions à haut risque : exécution shell ou de commande
Skill alternatif
Last30days Skill
53.5K Stars
npx skills add mvanhorn/last30days-skill -g
Skill alternatif
Academic Research Skills
38.4K Stars
npx skills add Imbad0202/academic-research-skills
Skill alternatif
GPT Researcher
28.0K Stars
npx skills add assafelovic/gpt-researcher
Skill alternatif
DeepResearch
19.8K Stars
npx skills add Alibaba-NLP/DeepResearch
Sécurité Agent v2
40/100 · Éviter l’installation automatique
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.
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.
- Audit risk risky exceeds max_risk=medium
- Indices de permissions à haut risque : exécution shell ou de commande
- Permission surface may require sandboxing
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.
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 gviiisen-repo-context-ledgerPlan 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 JSON
/api/agent/resolve?task=Use%20repo-context-ledger%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Texte Resolve
/api/agent/resolve?task=Use%20repo-context-ledger%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Relais d’installation
/api/skills/gviiisen-repo-context-ledger/install
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 repo-context-ledger in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20repo-context-ledger%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/gviiisen-repo-context-ledger/install
Install command: npx skills add gviiisen/repo-context-ledger --skill repo-context-ledger
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.
Relais d’installation
/api/skills/gviiisen-repo-context-ledger/install
Format texte LLM
/api/skills/gviiisen-repo-context-ledger/install?format=text
Trouver des alternatives
/api/skills/search?q=repo-context-ledger&limit=3
Prompt Agent
Use repo-context-ledger for this task. Review https://www.openagentskill.com/api/skills/gviiisen-repo-context-ledger/install, then install with: npx skills add gviiisen/repo-context-ledger --skill repo-context-ledgerMétadonnées 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.
Manifest
/api/registry/manifest/gviiisen-repo-context-ledger
Texte LLM
/api/registry/manifest/gviiisen-repo-context-ledger?format=text
Alias d’installation
/api/registry/install/gviiisen-repo-context-ledger
Recommander
/api/registry/recommend?task=Use%20repo-context-ledger%20in%20an%20agent%20workflow&limit=3
Adéquation Agent
Agents de recherche
Tags de cas d’usage
Plateformes
Claude Code, OpenAI Agents, Cursor
Rapport d’audit
Risqué · 76/100
Revue lisible par machine de la préparation à l’installation, des métadonnées de sécurité, de la maintenance et du risque d’adoption.
Panneau de décision Agent
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Rôle dans la pile
Candidate de secours
Pertinence principale
Agents de recherche
Libellé de confiance
Prototyper d’abord
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 65/100
- 8 événements OpenAgentSkill
revoir d’abord
- The SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
Chemin d’implémentation
- 1Installez-le dans un Agent en sandbox et exécutez une tâche de Agents de recherche de bout en bout.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Profil de confiance
Sandbox uniquement
Candidate utile avec des signaux de confiance incomplets ou mixtes. Gardez-la dans un espace isolé jusqu’à ce que la boucle de résultats confirme son adéquation.
Adoption GitHub
Vérifier72 stars GitHub
Activité stars/forks
Vérifier72 stars et 0 forks; l’activité des issues n’est pas disponible dans les métadonnées actuelles
Maintenance récente
Validé1 jours depuis le dernier push
Clarté de licence
ValidéMIT
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
- The SKILL.md excerpt is truncated, but the provided content is sufficient for evaluation.
- This skill may touch real-money trading, broker, wallet, or exchange operations; use only in a sandbox with explicit approval.
- Quality score needs review
- Permission surface needs review: shell or command execution, filesystem or document access
- GitHub adoption: 72 GitHub stars
- Stars/forks activity: 72 stars, 0 forks; issue activity unavailable in current metadata
- Permission surface: shell or command execution, filesystem or document access
- Pas encore de rapports de résultats Agent réels
- Une revue humaine est requise avant une installation sans surveillance
Action recommandée
Exécutez uniquement dans un sandbox et comparez les alternatives proches avant usage réel.
Profil qualité
Prometteur candidat pour les workflows Agent
Useful candidate, but compare it with alternatives before adopting.
Adéquation au workflow
Utilisez cette skill dans ces scénarios
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Adéquation au workflow
Ajouter à un workflow complet
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Liste d’alternatives
Comparer avant installation
Similar skills that may fit this task.
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
Academic Research Skills
Academic Research Skills for Claude Code: research → write → review → revise → finalize
GPT Researcher
Run autonomous deep research over web and local sources
DeepResearch
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Vue d’ensemble
--- name: repo-context-ledger description: Maintain durable, evidence-based repository context whenever an agent initializes a repository, implements or fixes behavior, refactors code, changes an interface, checkpoints or switches tasks, resumes or hands work to another AI tool, collaborates across parallel task sessions, Git branches, or worktrees, prepares a pull request, or completes a coding task. Use this skill to bridge Codex, Claude, Cursor, GitHub Copilot, Grok, and other coding agents through native instruction adapters, private session-isolated handoff drafts, atomic completed-change publication, a shared Context Manifest, language-aware Context Packs, stable feature specifications, verified change history, coverage gates, and managed README summaries without asking the user to run bookkeeping commands. ---
# Repo Context Ledger
Keep repository knowledge current across AI tools and fresh conversation windows. Treat semantic documentation as part of completing code work, while using the bundled deterministic runtime for paths, native adapters, the Context Manifest, indexes, links, README blocks, and validation. Never attempt to read or synchronize private vendor Memory; promote only code-verified facts into Git-tracked context.
## Locate the runtime
Resolve the directory containing this `SKILL.md`. The bundled runtime is `scripts/ledger.py` relative to that directory.
After initialization, prefer the repository-local copy:
```text python .context-ledger/ledger.py <command> ```
Use `python3` instead of `python` when that is the available interpreter.
`--repo` is optional. If omitted, the runtime walks up from the current directory to the nearest `.context-ledger/config.json`, and stops at a nested Git repository boundary.
## Choose the shortest path
Do not run the full lifecycle for every request.
- **Read-only understanding**: `context --query "<task>"`, then `focus --feature "<feature>"`. Do not `start` a session. - **Single-task small fix**: `status` → `start --feature` → implement → `verify -- <command>` → `finish --spec`. `finish` records evidence automatically when this is the only session. If the worktree is large or another session exists, pass `evidence --path`. - **Parallel tasks**: pass `--session <id>` on every lifecycle command. Capture evidence with repeated `--path` values for only this task. - **Medium or large change**: also refresh the related Context Pack, update the stable spec, and write Before/After evidence before `finish`.
`context` returns one primary Context Pack, its linked specs, and why it was chosen. Read that Pack's load order before scanning the rest of the repository.
## Initialize a repository
When the user asks to initialize, adopt, or configure repository context documentation:
1. Run `python <skill-dir>/scripts/ledger.py --repo <repository-root> init --dry-run` and inspect the exact planned files, managed blocks, migrations, and detected modules. The preview must remain read-only. 2. If the plan matches the user's requested repository scope, run the same command without `--dry-run`. Do not hand-recreate or selectively replay the plan. 3. Inspect the generated `.context-ledger/config.json`, detected modules, and existing documentation. 4. Run `python .context-ledger/ledger.py adapters check` and `python .context-ledger/ledger.py manifest check` to confirm native entry files and the shared route index are current. 5. Set `quality.language` (`auto`, `en`, or `zh-CN`) and `quality.detail` (`concise`, `standard`, or `detailed`) only when the repository needs a non-default policy. 6. Preserve existing `AGENTS.md`, `CLAUDE.md`, `.github/copilot-instructions.md`, README content, and documentation. Only managed blocks or the dedicated Cursor adapter may be regenerated. 7. Treat nested Git repositories and worktrees as discovery boundaries. When adopting legacy `docs/changes/YYYY-MM/...` trees, preserve and reuse an existing monthly `index.md`; remove an obsolete index only when the runtime can reproduce the whole file byte-for-byte from current sibling records. 8. Summarize what was added. Do not require the user to learn internal lifecycle commands.
Read [document-model.md](references/document-model.md) when choosing where information belongs or migrating an existing documentation layout.
## Complete behavior-changing work
Apply this workflow autonomously when code behavior changes. Follow [Choose the shortest path](#choose-the-shortest-path). Do not ask the user to run ledger commands.
1. Run `python .context-ledger/ledger.py status`. Reuse only this task's private draft. Never adopt, pause, publish, or rewrite another task's draft. 2. Resolve the record language. Keep code identifiers in source form. 3. If this task will change behavior and has no session, `start --title "<title>" --feature "<feature>"`. Keep the session ID. When more than one task is active, pass `--session <id>`; omission must fail. 4. Route context, then read the primary Pack and its specs:
```text python .context-ledger/ledger.py context --query "<feature, interface, or module>" python .context-ledger/ledger.py focus --feature "<feature>" ```
If no Context Pack exists, create one with `pack --feature`, fill every semantic section, then focus it. 5. Implement the change. Record every claimed check with `verify --session <id> -- <command>`. Failed output is stored as a redacted failure capsule, never as a raw log. Persisted verification evidence replaces repository, Codex, temporary, and user-home roots with stable placeholders, including JSON-escaped Windows paths. If verification is unavailable, use `verify --not-run --reason "<substantive reason>"`. 6. For a small single-session fix, `finish` can collect evidence. If another session exists, or automatic collection finds too many implementation paths, run `evidence --path` for only this task. Read [.context-ledger/writing-quality.md](.context-ledger/writing-quality.md) and remove every `TODO`. Code paths may cite `file.go::Symbol`; the path part is matched against evidence. 7. On medium or large changes, refresh every related Context Pack after tracked production paths change, and update the stable spec when current behavior or contracts changed. 8. Finish with `finish --spec docs/specs/<feature>.md`, or `finish --no-spec --reason "<why>"`. `finish` validates only this session. 9. Run `check --strict --coverage` at integration or pull-request time, not to unblock a parallel session.
## Bridge native Agent entry points
Treat `docs/ai/`, `docs/specs/`, and `docs/changes/` as the vendor-neutral source. `AGENTS.md`, `CLAUDE.md`, `.cursor/rules/repo-context-ledger.mdc`, and `.github/copilot-instructions.md` are thin adapters only.
- Run `python .context-ledger/ledger.py adapters sync` after changing adapter policy or upgrading the runtime. - Run `python .context-ledger/ledger.py adapters check` before completion. - Run `python .context-ledger/ledger.py manifest sync` on the default branch when source documents were repaired manually; normal initialization and derived sync regenerate it automatically. - Prefer code and executed tests over stable specs, stable specs over Context Packs, and all Git-tracked ledger documents over private Agent Memory.
Active lifecycle commands leave formal change history, shared README blocks, and monthly indexes unchanged. `finish` publishes one completed change file; feature branches continue to defer shared derived indexes until merge.
## Collaborate through Git
The runtime supports multiple private task drafts in one worktree. It isolates bookkeeping only: it does not copy source files, create worktrees, claim paths, lock code, or merge code. In a shared worktree, each session records an explicit evidence path set and `finish` ignores unrelated session dirt. Leave source-edit concurrency and conflicts to the host Agent and Git.
Never send messages, delegations, follow-up prompts, or steering instructions to another user-owned task/thread unless the user explicitly requests cross-task coordination. The presence of another session, a foreign stale Pack, a failed global check, or a shared worktree is not permission to contact, pause, redirect, or interrupt it. Report an integration-stage conflict to the user without steering the other task.
Before opening or updating a pull request:
1. Fetch or otherwise update the intended base branch. 2. Run `python .context-ledger/ledger.py team-check --base <base-ref>`. 3. Resolve reported overlaps in code paths or feature handoffs with the other contributor. Rebase or merge the current base as appropriate, then refresh any stale Context Pack. 4. Run `python .context-ledger/ledger.py check --strict`.
After changes are merged, run this once on the configured default branch:
```text python .context-ledger/ledger.py sync --derived ```
This deterministically rebuilds monthly change indexes and managed root/module README summaries from committed source documents. Do not hand-edit generated indexes.
## Switch or resume context
Interpret natural-language requests such as "pause this and fix login," "continue the previous withdrawal task," or "hand this to another AI" as lifecycle instructions. Do not require command syntax from the user.
Before switching away from active work, record an accurate resume summary and concrete next step:
```text python .context-ledger/ledger.py checkpoint --summary "<completed work and current state>" --next "<next concrete action>" python .context-ledger/ledger.py pause --summary "<completed work and current state>" --next "<next concrete action>" ```
Use `checkpoint --session <id>` when another Agent or window will continue the same active task. Use `pause --session <id>` only when suspending that task; never manipulate another task's session.
Focus the target feature's Context Pack, then start its handoff when code behavior will change. Never abandon a different active handoff silently.
Resume the only paused task when it is unambiguous:
```text python .context-ledger/ledger.py resume ```
Resume a selected task when multiple sessions are paused:
```text python .context-ledger/ledger.py resume --session <id> ```
After resuming, read the handoff's resume fields, load its Context Pack, inspect dirty paths, and revalidate warnings about changed commits or stale fingerprints before editing code.
## Handle non-behavior work
For read-only analysis, questions, formatting-only edits, or tasks that do not change repository behavior, do not create a handoff. Read existing context as needed and leave the ledger unchanged.
## Recovery
- Run `python .context-ledger/ledger.py status` to inspect the current state. - Reuse an active draft only when its session ID belongs to the current task. - Start a separate private draft rather than pausing or overwriting another task. - When another session exists, capture evidence with repeated `--path` values for this task only; never adopt the entire shared dirty set. - Use `status` and `--session` lifecycle targeting; do not find or edit the Git-metadata state file manually. - Refresh a stale Context Pack with `pack` after inspecting the changed files. - Repair drifted native entry files with `adapters sync`; never copy private Agent Memory into the ledger as an unverified fact. - Run `python .context-ledger/ledger.py sync` after manually repairing documents or configuration. Add `--derived` on the default branch after merges.
## Writing rules
- Apply [writing-quality.md](references/writing-quality.md) to `evidence-v1` records. Preserve legacy records unless explicitly upgrading them. - Record current truth in `docs/specs/`, chronological evidence in `docs/changes/`, and minimal loading routes in Context Packs. - Keep unfinished drafts private. Publish each completed change into its own file and let the runtime build monthly indexes. - Keep the runtime-generated handoff ID, actor, and branch metadata. Unique filenames are intentional a
Détails techniques
- Version
- 1.0.0
- Licence
- MIT
- Dernière mise à jour
- 21 août 2026
- Publié
- 21 août 2026
Instantané de décision
Candidate de secours
recent repository activity
Audit
Revue d’installation
Revue d’installation et d’adoption
- Sécurité
- 78/100
- Maintenance
- 100/100
- Installer
- 92/100
Preuves validées par Agent
Preuves validées par Agent
Rapports après resolve, revue, installation et une exécution limitée.
- 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
Brouillon guidé par scénario pour repo-context-ledger, prêt pour une publication manuelle sur X.
repo-context-ledger: Maintain durable, evidence-based repository context whenever an agent initializes a repositor... 72 stars https://www.openagentskill.com/skills/gviiisen-repo-context-ledger?ref=x
Réponse facultative avec commande d’installation
Listing + install path for repo-context-ledger: https://www.openagentskill.com/skills/gviiisen-repo-context-ledger?ref=x Install: npx skills add gviiisen/repo-context-ledger --skill repo-context-ledger
Source de la fiche
Indexé par Registry
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
- gviiisen
- 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 skillRevendication du propriétaire
Revendiquer cette fiche de skill
Cette fiche Indexé par Registry est attribuée à gviiisen, 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.
Kit de backlinks créateur
Ajoutez les badges de preuve à votre README
Affichez la fiche canonique, les signaux actuels de confiance et d’audit, ainsi que de vraies preuves Agent-Proven là où les développeurs évaluent le dépôt.
[](https://www.openagentskill.com/skills/gviiisen-repo-context-ledger)
[](https://www.openagentskill.com/skills/gviiisen-repo-context-ledger)
[](https://www.openagentskill.com/skills/gviiisen-repo-context-ledger/audit)
[](https://www.openagentskill.com/skills/gviiisen-repo-context-ledger)Auteur
gviiisen
@gviiisen
Tags
Adéquation plateforme
Signaux de santé
- Stars GitHub
- 72
- Score de qualité
- 36/100
- Dernier push GitHub
- 21 août 2026
- Indications de framework
- Inconnu
- Vues OpenAgentSkill
- 8
- 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
Sandbox uniquement
- Adoption GitHub72 stars GitHubVérifier
- Activité stars/forks72 stars et 0 forks; l’activité des issues n’est pas disponible dans les métadonnées actuellesVérifier
- Maintenance récente1 jours depuis le dernier pushValidé
- Clarté de licenceMITValidé
- Complétude README/SKILL.mdLes métadonnées incluent suffisamment de contexte d’usage et de workflowValidé
- Risque dépendances/runtimenetwork or browser surfaceValidé
Skills associés
Last30days Skill
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