Ersteller · darkroomengineering
Letzte Aktualisierung · 24. Aug. 2026
handoff
End-of-session save and next-session resume. Triggers "ending session", "wrapping up", "context window", "running out of context", "done for today" (save mode); "continue where we left off", "pick up where", "last session", "previous work", "resume" (resume mode).
Nur Sandbox
Installationsziele
Codex-Installationsprompt
Install the "handoff" agent skill from https://github.com/darkroomengineering/cc-settings/tree/main/skills/handoff. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: End-of-session save and next-session resume. Triggers "ending session", "wrapping up", "context window", "running out of context", "done for today" (save mode); "continue where we left off", "pick up where", "last session", "previous work", "resume" (resume mode). After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"darkroomengineering-handoff","task":"Install handoff","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Asset-Profil
Coding- und Entwickler-Agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
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 darkroomengineering/cc-settings --skill handoff
Wartung
Aktuell
Heute gepusht
Risiko
Prüfung nötig
Dependency or permission surface needs review
GitHub-Qualität
42
63/100 Qualität · 72/100 Vertrauen
Abdeckungs-Tags
Review-Notizen
Dependency or permission surface needs review · Permission surface may require sandboxing
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
VielversprechendUseful candidate, but compare it with alternatives before adopting.
Vertrauen
Nur SandboxNützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
Audit
Prüfung nötigMaschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
OpenAgentSkill Trust Score v5
Menschliche Prüfung vor Installation
Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.
Stars
42 GitHub-Stars
Repository-Aktivität
42 Stars und 3 Forks
Wartung
Heute gepusht
Lizenz
MIT
Installieren
npx skills add darkroomengineering/cc-settings --skill handoff
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
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
Installationsbereitschaft
Installationspfad verfügbar
- Installationspfad ist verfügbar
- Repository-Belege sind verfügbar
- Lizenz ist angegeben
- 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.
View technical data+
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.
Geeignete Aufgaben
- Research-Agent-Workflows
- Claude-Code-Teams
- builders willing to evaluate younger projects
- Suchquellen
Geeignete Agents
Installationsentscheidung
- Befehl
- npx skills add darkroomengineering/cc-settings --skill handoff
- Richtlinie
- Blockieren
- Menschliche Prüfung
- Ja
Vertrauen und Risiko
- Vertrauen
- 64/100
- Audit
- 76/100
- Risikoebene
- Prüfung nötig
Ergebnis-Loop
- Endpoint
- /api/agent/outcome
- Event-ID
- resolve
- Ergebnisse
- 5
Installationsbefehl
npx skills add darkroomengineering/cc-settings --skill handoffNicht verwenden, wenn
- Teams, die ein vom Anbieter unterstütztes SLA benötigen
- production agents without a repository review
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
- Hinweise auf Hochrisiko-Berechtigungen: Shell or command execution, Secrets or environment access
Agent-Sicherheit v2
36/100 · Automatische Installation vermeiden
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.
Hoch
Shell- oder Befehlsausführung
Die Skill-Metadaten verweisen auf Terminal-, CLI-, Shell-, Subprozess- oder Befehlsausführungs-Workflows.
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.
Hoch
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- Hinweise auf Hochrisiko-Berechtigungen: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
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.
JSON öffnen
/api/agent/resolve?task=Use%20handoff%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve-Text
/api/agent/resolve?task=Use%20handoff%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Installationsübergabe
/api/skills/darkroomengineering-handoff/install
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 handoff in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20handoff%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/darkroomengineering-handoff/install
Install command: npx skills add darkroomengineering/cc-settings --skill handoff
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.
Installationsübergabe
/api/skills/darkroomengineering-handoff/install
LLM-Textformat
/api/skills/darkroomengineering-handoff/install?format=text
Alternativen finden
/api/skills/search?q=handoff&limit=3
Agent-Prompt
Use handoff for this task. Review https://www.openagentskill.com/api/skills/darkroomengineering-handoff/install, then install with: npx skills add darkroomengineering/cc-settings --skill handoffRegistry-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
/api/registry/manifest/darkroomengineering-handoff
LLM-Text
/api/registry/manifest/darkroomengineering-handoff?format=text
Installationsalias
/api/registry/install/darkroomengineering-handoff
Empfehlen
/api/registry/recommend?task=Use%20handoff%20in%20an%20agent%20workflow&limit=3
Agent-Fit
Recherche-Agents
Use-Case-Tags
Plattformen
Claude Code, OpenAI Agents
Audit-Bericht
Prüfung nötig · 76/100
Maschinenlesbare Prüfung von Installationsbereitschaft, Sicherheitsmetadaten, Wartung und Akzeptanzrisiko.
Agent-Entscheidungspanel
Fallback candidate for Research agents
Prototype with this skill first; keep a fallback candidate ready.
Rolle im Stack
Fallback-Kandidat
Primäre Eignung
Recherche-Agents
Vertrauenslabel
Zuerst prototypisieren
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 63/100
zuerst prüfen
- Low GitHub adoption signal
- No OpenAgentSkill engagement data yet
Implementierungspfad
- 1Installieren Sie es in einem Sandbox-Agent und führen Sie eine Recherche-Agents-Aufgabe vollständig aus.
- 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.
Vertrauensprofil
Nur Sandbox
Nützlicher Kandidat mit fehlenden oder gemischten Vertrauenssignalen. Bis der Ergebniszyklus die Passung belegt, in einem isolierten Arbeitsbereich verwenden.
GitHub-Akzeptanz
Prüfen42 GitHub-Stars
Star-/Fork-Aktivität
Prüfen42 Stars und 3 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbar
Aktuelle Wartung
BestandenHeute gepusht
Lizenzklarheit
BestandenMIT
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
- Financial research output is not financial advice; require human review before any live investment decision.
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 42 GitHub stars
- Stars/forks activity: 42 stars, 3 forks; issue activity unavailable in current metadata
- 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
Nur in einer Sandbox ausführen und nahe Alternativen vergleichen, bevor sie produktiv eingesetzt wird.
Qualitätsprofil
Vielversprechend Kandidat für Agent-Workflows
Useful candidate, but compare it with alternatives before adopting.
Workflow-Eignung
Diese Skill in diesen Szenarien nutzen
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Workflow-Eignung
Zum vollständigen Workflow hinzufügen
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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.
Alternativen-Shortlist
Vor Installation vergleichen
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Open-source infrastructure for Computer-Use Agents. Sandboxes, SDKs, and benchmarks to train and evaluate AI agents that can control full desktops (macOS, Linux, Windows).
Übersicht
--- name: handoff argument-hint: "[save|resume]" description: End-of-session save and next-session resume. Triggers "ending session", "wrapping up", "context window", "running out of context", "done for today" (save mode); "continue where we left off", "pick up where", "last session", "previous work", "resume" (resume mode). context: fork ---
# Session Handoff
Two-mode skill: **Save** state at end of session, **Resume** state at start of next session.
## Product-aware runner and state
Claude uses the installed runner and state under `~/.claude`:
```bash HANDOFF_RUNNER="$HOME/.claude/src/scripts/handoff.ts" CC_STATE_ROOT="$HOME/.claude" ```
Standalone Codex uses `${CODEX_HOME:-$HOME/.codex}/darkroom/source/src/scripts/handoff.ts`, but the plugin's stable handoff state is exposed only to hooks as `$PLUGIN_DATA`. In a Codex plugin hook, set `HANDOFF_RUNNER` to that runner and `CC_STATE_ROOT="$PLUGIN_DATA"`. Outside that environment, do not guess a cache path or write into `~/.claude`: manual Codex create/resume/list/clean is unavailable until the host exposes the same plugin-data path to the session.
## Mode: Save
Save current session state for later resumption. This is the **end-of-session boundary** skill — for mid-task rollback points before risky operations, use `/checkpoint`.
### Usage
```bash CC_SETTINGS_HOME="$CC_STATE_ROOT" bun "$HANDOFF_RUNNER" create ```
Or use the native command: ``` /handoff ```
### What Gets Saved
Every handoff — auto or manual — always captures real, git-derived data at creation time: - **Project**: name, path, current branch - **Pending changes**: `git status --porcelain` (first 20 lines) - **Key files**: uncommitted paths **union** the files the session ledger observed being changed (see below) - **Recent commits**: subjects of the last 3 commits - **Source**: `manual` or `auto` (see below)
In Claude, three additional sections are built purely from **observed** tool activity, not inference: - **Files Modified** — every path a `Write`/`Edit`/`NotebookEdit` touched - **Files Read** — every path a `Read` touched - **Tool Failures** — the exact tool name and error string, bounded and secret-redacted
These Claude-only sections come from the session ledger, a bounded JSONL at `~/.claude/tmp/session-ledger/<session_id>.jsonl` written by the `PostToolBatch` hook. It exists to fix a specific hole: **`git status` forgets everything you committed.** A file edited at the start of a long session and committed an hour later is invisible to a `git status`-only handoff, so the longer the session, the more of its work disappears from the record. The ledger stores paths, tool names, and error strings only — never file contents, prompts, or tool responses — and never infers, so a `Bash` command's success is recorded as *nothing* rather than as a guess.
Beyond that, what's actually filled in depends on how the handoff was created:
- **Manual** (`/handoff`, or `handoff.ts create --summary "text"`) — the `--summary` text becomes the Session Summary. Active Todos / Current Task / Notes for Next Session are placeholders (`<!-- ... -->`) for you (or the agent, before the turn ends) to fill in manually — the CLI has no way to know your in-progress todos, decisions, or learnings on its own. - **Automatic** (PreCompact/SessionEnd hooks call `create --from-hook`, `source: "auto"`) — Active Todos, Current Task, and Notes for Next Session stay as unfilled placeholders, but **Session Summary is no longer blank on the compaction path**: the `PostCompact` hook writes Claude Code's own `compact_summary` into the handoff that the preceding `PreCompact` created, matched on session id. That summary is the one record of intent, decisions, and rationale; the ledger sections are the record of artifacts. They are stored separately and never merged, so nothing inferred is presented as observed.
Standalone Codex hooks capture the git-derived fields through the shared runner, but Codex does not provide Claude's PostToolBatch session ledger or PostCompact `compact_summary` backfill. Do not claim those sections were observed in Codex.
On a Claude `SessionEnd` handoff (no compaction involved) Session Summary can still be empty — pair it with the structured compaction template below, or run a manual `/handoff` with `--summary` before ending a session.
### GitHub Issue Sync
If the current branch is linked to a GitHub Issue (e.g., `feat/123-description`):
1. **Post a progress comment** on the issue: ```bash gh issue comment 123 --body "## Session Update - Completed: [summary of work done] - Files modified: [list] - Next steps: [what remains]" ```
2. **Check off completed tasks** in the issue body if any task checkboxes were resolved during this session.
This ensures project progress is visible to the whole team, not just in local handoff files.
### Handoff Location
Handoffs are scoped per project (repo toplevel basename, or cwd basename outside a git repo) — a handoff saved in one project never surfaces as "latest" when you resume in another. Claude stores them below `~/.claude/handoffs`; Codex plugin hooks store them below `$PLUGIN_DATA/handoffs`:
``` ~/.claude/handoffs/ └── <project-name>/ ├── handoff_20260115_143000.md ├── handoff_20260115_143000.json ├── latest.md -> handoff_20260115_143000.md └── ... ```
Handoffs saved before this per-project scoping existed live under the flat `~/.claude/handoffs/` directory; `resume`/`list` fall back to that legacy directory exactly once, only when the current project has no scoped store of its own yet.
### When to Create Handoff
1. **End of work session** - Before closing Claude Code 2. **Context at 65%+** - Before manual compaction or context quality degrades 3. **Taking a break** - Preserve state for later 4. **Switching tasks** - Save before context switch 5. **Before compacting** - Auto-triggered by PreCompact hook
### Auto-Handoff
Both products create git-derived handoffs before compaction and at session end. Claude additionally provides the session-ledger and PostCompact behavior described above. Codex does not provide Claude's SessionStart handoff display or automatic pruning contract; do not promise either.
### Output
Confirms: - Handoff file created (and GitHub Issue updated if linked) - Location of file - Key information saved
---
### Claude context-window runbook (folded in from former `/context` skill)
The statusline shows live context usage:
``` Opus 5 | my-project | main*↑ | ▊░░░░░░░░░ 8% (84k/1.0M) ```
| Usage | Action | |-------|--------| | 65–79% | Save a checkpoint and compact or prepare a handoff | | 80–89% | Stop expanding scope and run `/handoff` | | 90%+ | Run `/handoff` **now** |
#### Model degradation thresholds
Degradation is not gradual — it follows a step function. Place critical information at the beginning and end — see `AGENTS.md` "Context Hygiene". Avoid burying key facts in the middle.
| Model | Noticeable degradation | Severe degradation | |-------|------------------------|--------------------| | Claude Opus 5 | ~100K tokens | ~180K tokens | | Claude Sonnet 5 | ~80K tokens | ~150K tokens | | Claude Haiku 4.5 | ~50K tokens | ~90K tokens |
Sonnet 5's tokenizer is ~30% heavier than Sonnet 4.6's, so it reaches these thresholds on noticeably less actual text — the token counts above are unchanged, but the same conversation fills them faster.
**Key patterns:** - **Lost-in-middle** — information in the center gets less attention - **Context poisoning** — a single wrong fact can corrupt reasoning on related topics - **Context distraction** — irrelevant info degrades performance on a step function, not proportionally
#### Structured compaction template
When compaction is unavoidable, populate this template — each section forces preservation of the dimensions most often lost:
```markdown ## Session Intent [What the user is trying to accomplish — the "why"]
## Files Modified - path/to/file.ts: What changed and why
## Files Read (Not Modified) - path/to/reference.ts: Why it was consulted
## Decisions Made - Decision 1: Rationale
## Errors Encountered - Error message → Resolution applied (or "still unresolved")
## Current State - Build status / test status / what works / what doesn't
## Next Steps 1. Immediate next action 2. Following action ```
The artifact trail (which files were touched, what changed) is universally the weakest dimension after compression. Dedicated sections force preservation of file paths, error messages, and decisions that would otherwise silently drift away.
#### Post-compaction validation
After compaction, probe 3–5 critical facts before continuing work:
1. "What files have I modified in this session?" 2. "What was the last error I encountered?" 3. "What approach did I decide on and why?" 4. "What are the remaining next steps?"
If any probe returns vague or incorrect answers, re-read the handoff file (`/handoff` resume mode) to restore critical context.
#### Reducing context proactively
1. **Use `context: fork`** — skills that fork don't bloat main context 2. **Delegate exploration** — let agents handle research 3. **Clean summaries** — agents return summaries, not raw output 4. **Avoid large file reads** — use TLDR for token-efficient analysis 5. **Offload large tool output** — write outputs >2000 tokens to scratch files; return summary + path 6. **Place critical info at edges** — beginning and end of context get more attention
---
## Mode: Resume
Load state from a previous session and continue work.
### Usage
```bash CC_SETTINGS_HOME="$CC_STATE_ROOT" bun "$HANDOFF_RUNNER" resume ```
Or use: ``` /handoff resume ```
### What Gets Loaded
- **Previous task**: What you were working on - **Progress**: What was completed - **Decisions**: Key choices made - **Files modified**: What was changed - **Next steps**: What remains - **Context**: Important information
### GitHub Issue Context
Before loading the local handoff, check for a linked GitHub Issue:
```bash BRANCH=$(git branch --show-current) ISSUE_NUM=$(echo "$BRANCH" | grep -oE '[0-9]+' | head -1)
if [[ -n "$ISSUE_NUM" ]]; then gh issue view "$ISSUE_NUM" --comments fi ```
If an issue is found, **present it as the primary context** — it's the shared source of truth. The local handoff supplements it with session-specific details.
Present a combined summary: - **From GitHub Issue**: Title, task progress (X/Y done), latest comments - **From local handoff**: Session-specific notes, open files, debug state
### Available Handoffs
In Claude, list handoffs for the current project: ```bash ls ~/.claude/handoffs/"$(basename "$(git rev-parse --show-toplevel 2>/dev/null || pwd)")"/ ```
### Resume Options
#### Most Recent ``` /handoff ``` Loads the most recent handoff for current project.
#### Specific Handoff ``` /handoff project-name-2024-01-15-1430 ``` Loads a specific handoff file.
#### List All ``` /handoff list ``` Shows available handoffs.
#### Clean Old Handoffs ```bash CC_SETTINGS_HOME="$CC_STATE_ROOT" bun "$HANDOFF_RUNNER" clean [keep] ``` Removes old handoff files, keeping the most recent `keep` (default: 20) of each type (`.json` and `.md`). SessionStart already prunes down to 20 automatically on every session, so this is only needed for on-demand cleanup (e.g. `clean 0` to wipe all handoffs).
### Workflow
1. **Check GitHub Issue** - Read linked issue for shared project context 2. **Load local handoff** - Read session-specific state 3. **Review combined context** - Understand where we left off 4. **Verify files** - Check current state vs handoff 5. **Continue work** - Pick up next steps from the issue task list
### Claude automatic session start
When starting a new session, the setup automatically: - Checks for linked GitHub Issue (reads context) - Recalls project learnings - Shows recent handoff if available - Displays context from previous work
Technische Details
- Version
- 1.0.0
- Lizenz
- MIT
- Letzte Aktualisierung
- 24. Aug. 2026
- Veröffentlicht
- 24. Aug. 2026
Entscheidungsübersicht
Fallback-Kandidat
recent repository activity
Audit
Installationsprüfung
Installations- und Adoptionsprüfung
- Sicherheit
- 77/100
- Wartung
- 100/100
- Installieren
- 92/100
Von Agent belegte Evidenz
Von Agent belegte Evidenz
Ergebnisberichte nach Resolve, Prüfung, Installation und einem begrenzten Lauf.
- 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
Szenariobasierter Entwurf für handoff, bereit für einen manuellen X-Post.
handoff: End-of-session save and next-session resume. Triggers "ending session", "wrapping up", "conte... 42 stars https://www.openagentskill.com/skills/darkroomengineering-handoff?ref=x
Optionale Antwort mit Installationsbefehl
Listing + install path for handoff: https://www.openagentskill.com/skills/darkroomengineering-handoff?ref=x Install: npx skills add darkroomengineering/cc-settings --skill handoff
Quelle des Eintrags
Registry-indexiert
Dieser Eintrag wurde aus öffentlichen Quellen indexiert und ist erst nach Genehmigung eines Maintainer-Anspruchs offiziell.
- Ersteller
- darkroomengineering
- 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 beanspruchenEigentümeranspruch
Diesen Skill-Eintrag beanspruchen
Dieser Registry-indexiert-Eintrag wird darkroomengineering 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.
[](https://www.openagentskill.com/skills/darkroomengineering-handoff)
[](https://www.openagentskill.com/skills/darkroomengineering-handoff)
[](https://www.openagentskill.com/skills/darkroomengineering-handoff/audit)
[](https://www.openagentskill.com/skills/darkroomengineering-handoff)Autor
darkroomengineering
@darkroomengineering
Tags
Plattform-Fit
Gesundheitssignale
- GitHub-Stars
- 42
- Qualitätswert
- 35/100
- Letzter GitHub-Push
- 24. Aug. 2026
- Framework-Hinweise
- Unbekannt
- OpenAgentSkill-Aufrufe
- 0
- Installationskopien
- 0
- Externe Klicks
- 0
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Vertrauen & Sicherheit
Nur Sandbox
- GitHub-Akzeptanz42 GitHub-StarsPrüfen
- Star-/Fork-Aktivität42 Stars und 3 Forks; Issue-Aktivität ist in den aktuellen Metadaten nicht verfügbarPrüfen
- Aktuelle WartungHeute gepushtBestanden
- LizenzklarheitMITBestanden
- README/SKILL.md-VollständigkeitMetadaten enthalten ausreichend Nutzungs- und Workflow-KontextBestanden
- Abhängigkeits-/Laufzeitrisikocommand execution surface, credential or environment accessPrüfen
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