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 skills add liqiongyu/lenny_skills_plus --skill running-decision-processesgit clone --depth 1 https://github.com/liqiongyu/lenny_skills_plusWrote 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/liqiongyu/lenny_skills_plus/running-decision-processes)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/running-decision-processes"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/running-decision-processes/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/liqiongyu/lenny_skills_plus/running-decision-processes"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/running-decision-processes.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 | $0.00029 | $0.02126 |
| Opus 5 | $0.00015 | $0.01063 |
| Sonnet 5 | $0.00006 | $0.00425 |
| Haiku 4.5 | $0.00003 | $0.00213 |
Grade A, and why
running-decision-processes 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 9d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Running Decision Processes
Scope
Covers
- Running an end-to-end decision process for a cross-functional, high-stakes, or high-ambiguity decision
- Making implicit assumptions explicit (so they can be tested and reviewed later)
- Avoiding "decision drift" (hesitation, hidden vetoes, unclear decision rights)
- Capturing durable artifacts: decision brief, roles, meeting plan, decision log, comms, and a review loop
When to use
- "Draft a decision memo / pre-read and run the decision meeting."
- "We're stuck between two bad options—help us decide and commit."
- "Set up RAPID/DACI/RACI for this decision and clarify who decides."
- "Create an options + criteria matrix and a decision log entry."
- "This feels like a one-way door / irreversible decision—tighten the process."
When NOT to use
- You need to decide what problem to solve (do problem definition first).
- You need prioritization across many opportunities (use a roadmap/prioritization workflow).
- The "decision" is actually a status update or routine coordination (use a meeting/operating cadence).
- The decision is personal/legal/HR or requires specialist counsel (escalate to humans and domain experts).
- You need a deep analytical comparison of options with weighted scoring and sensitivity analysis (use
evaluating-trade-offs). - You need to map systemic feedback loops and second-order effects across an ecosystem (use
systems-thinking). - You need to build stakeholder buy-in for an already-made decision (use
stakeholder-alignment). - You need to facilitate a meeting that is not centered on making a specific decision (use
running-effective-meetings).
Inputs
Minimum required
- Decision to make (one sentence) and decision deadline (or "no later than" date)
- Context/why now (what changed; what happens if you don't decide)
- Scope boundaries + non-negotiables (policy, budget, timeline, customer commitments)
- Stakeholders and required approvers (who can block / who must live with the outcome)
- Current options under consideration (even if rough) and key uncertainties
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- eval/eval_config.json 881 B
- eval/SHOWCASE.md 5.4 KB
- eval/with_skill.md 32 KB
- eval/without_skill.md 12 KB
- README.md 1.6 KB
- references/CHECKLISTS.md 2.2 KB
- references/EXAMPLES.md 1.7 KB
- references/INTAKE.md 1.6 KB
- references/RUBRIC.md 2.4 KB
- references/SOURCE_SUMMARY.md 1.6 KB
- references/TEMPLATES.md 5.0 KB
- references/WORKFLOW.md 3.5 KB
- skillpack.json 394 B
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.
- 9d ago First seen · 135 lines · 29 tokens per session scan A 9edb850c97cb
running-decision-processes is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 2,126 once invoked, about $0.0001 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 2026-09-03.
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