Borrowing it
Nothing to install: this file belongs to senda-labs/DQIII8. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/senda-labs/DQIII8/main/.claude/skills/handover/SKILL.mdgit clone --depth 1 https://github.com/senda-labs/DQIII8Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/senda-labs/dqiii8/handover)<a href="https://agentmods.dev/skills/senda-labs/dqiii8/handover"><img src="https://agentmods.dev/badge/skills/senda-labs/dqiii8/handover/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/senda-labs/dqiii8/handover"><img src="https://agentmods.dev/badge/skills/senda-labs/dqiii8/handover.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00060 | $0.01265 |
| Opus 5 | $0.00030 | $0.00633 |
| Sonnet 5 | $0.00012 | $0.00253 |
| Haiku 4.5 | $0.00006 | $0.00127 |
Grade A, and why
handover scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/handover — Session Handover Note
Trigger
User writes /handover at the end of a work session.
Behavior
Step 1 — Verify system state
Run these checks from $DQIII8_ROOT and note the results:
cd /root/dqiii8
git status --short
git log --oneline -5
python3 -m pytest tests/test_smoke.py -q 2>&1 | tail -1
ls tasks/pending_*.md 2>/dev/null || echo "(no pending tasks)"
Step 2 — Ask user for next steps
Use AskUserQuestion to ask the user before saving anything:
"¿Cuáles son los próximos pasos para la siguiente sesión?"
Offer 4 options based on what you observed in Step 1 (infer from context), plus "Auto" as fallback.
If user selects "Auto" or provides no answer: Infer next steps from:
ls tasks/pending_*.md— incomplete task filesgit log --oneline -10— look for feat:/fix: commits that mention open issues or TODOscat my-projects/*/.dq-project.json 2>/dev/null— checknext_stepfields- Uncommitted changes in
git status --short— unfinished work - Fall back to: "Continuar desde el último estado del proyecto activo"
Step 3 — Run the handover script
cd /root/dqiii8
python3 bin/tools/handover.py
El script añade automáticamente una sección ## Operador derivada del
usuario Linux real (plglobal-isabel → Isabel Vinagre, plglobal-mario →
Mario Cabeza, root → Iker) — no requiere preguntar quién opera la sesión.
The script generates sessions/YYYY-MM-DD_session_N.md locally. sessions/ is gitignored — a file written by this path is never committed or pushed.
Step 4 — Inject real next steps
Find the generated file:
ls -t /root/dqiii8/sessions/*.md | head -1
Use Edit to replace the ## Next steps section content with the actual
steps collected in Step 2. Format each step as a bullet:
## Next steps
- [step 1 exactly as provided/inferred]
- [step 2]
- ...
Do NOT invent steps. Only write what the user confirmed or what was clearly inferred from system state.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 117 lines · 60 tokens per session scan A 86ba620c9b81
handover is a skill published in the GitHub repository senda-labs/DQIII8 (11 stars, last pushed 22d ago), licensed MIT. It adds 60 tokens to every session and 1,265 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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using-adaptive-harness
Auto-mode bootstrap for adaptive-harness. Intercepts tasks, routes to optimal harness, evaluates results. Use on every task when adaptive-harness auto-mode is active.
task-taxonomy
Reference for the 6-axis task taxonomy used by adaptive-harness routing. Use when user asks how tasks are classified.
harness-registry
Manage the adaptive-harness pool: list, inspect, promote, demote harnesses. Use when user asks about harness status or wants to manage the pool.
skill-review-response
Use when a reviewer, CI bot, or another AI leaves feedback to address.
sys-configure
Configure Claude Octopus — redirects to /octo:setup interactive wizard.
continuum-tools-mcp
Connect MCP servers (Stdio/SSE/StreamableHTTP) to a Continuum agent, configure tool filtering, set up tool-context capture/injection (e.g. sessionid), and read run artifacts (UI widgets, structured tool data). Invoke when the user asks "connect MCP", "filesystem tool", "remote API tool", "auto-capture sessionid"…