Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/nafjan/summon/deliberatenpx skills add Nafjan/summon --skill deliberategit clone --depth 1 https://github.com/Nafjan/summonWrote 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/nafjan/summon/deliberate)<a href="https://agentmods.dev/skills/nafjan/summon/deliberate"><img src="https://agentmods.dev/badge/skills/nafjan/summon/deliberate.svg" alt="Measured on agentmods" 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 | $0.00036 | $0.00421 |
| Opus 5 | $0.00018 | $0.00211 |
| Sonnet 5 | $0.00007 | $0.00084 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
deliberate 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 3d 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.
What it actually says
Deliberate — governed decisions for Summon
/deliberate is the focused companion entry point for Summon's governed-decision
workflow. It owns no scheduler, scripts, schemas, or duplicate policy. Read the
canonical guide at ../summon/references/deliberation.md before constructing,
inspecting, recovering, or resuming a run.
Use /deliberate when a decision has explicit options and named seats and must be
bounded by quorum, physical attempts, an absolute deadline, and a durable journal.
Use /summon for ordinary dispatch, manifest/fan-out, and council work. Council
remains the right choice for cross-examination and a chairman's synthesis.
Before invoking it, obtain—not infer—the question, 2–10 seat IDs, at least two option IDs, quorum, rounds, maximum physical attempts, deadline, human-approval policy, private durable run directory, and each seat's authority/consent/worktree evidence. If any of those facts are missing, ask the user or choose another mode.
The CLI is the same dispatcher:
../summon/scripts/run_subagent.py deliberate --question "…" --seats A,B \
--options X,Y --quorum all --rounds 1 --max-attempts 4 --deadline 30m \
--run-dir <private-runs-root> --cwd <project>
The current fresh/resume provider path is integration_pending; it never silently
falls back to another mode. status, replay, recover, cancel, and open are
provider-inert. An unmatched physical start is uncertain_spend; do not retry it
unless the user explicitly supplies --retry-indeterminate.
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.
- 3d ago First seen · 37 lines · 36 tokens per session scan A 02ef3d48db4a
deliberate is a skill published in the GitHub repository Nafjan/summon (4 stars, last pushed 5d ago), licensed MIT. It adds 36 tokens to every session and 421 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
agent-harness-fault-injection
Use when an agent workflow needs deterministic recovery evidence for sandbox, MCP/tool, worker, checkpoint, memory, or orchestration failures.
foundry-config-setup
Resolve missing setup caused by a hardcoded Foundry project endpoint or model in a sample. Use when a sample fails because it uses a placeholder/hardcoded projectendpoint (for example "https://your-project.services.ai.azure.com") or a hardcoded model instead of reading them from the environment.
error-recovery
Standard recovery patterns for all squad agents. When something fails, adapt — don't just report the failure.
agentic-workflow-designer
Conversational skill that interviews users to design new agentic workflows.
security-review
How to review PRs for security — credentials, injection, workflow permissions, supply chain, git operation safety.
shogun-screenshot
スクリーンショットの取得・加工を行う。ローカルスクショから最新画像を取得、 PlaywrightでWebページをキャプチャ、画像のトリミング・リサイズ、機微情報を黒塗りマスキング。 記事執筆、レポート作成、UI確認、画像加工時に起動。 「スクショ」「スクリーンショット」「画面キャプチャ」「最新のスクショ」「画像加工」「トリミング」「マスク」「写メ」「写メ撮った」「スクショ撮った」で起動。 Do NOT use for: 画像生成（shogun-imagegenを使え）。.