obsidian-tracker-decision-close

obsidian-tracker-decision-close is a skill for Claude Code from IvanLutsenko/awac-ai-agent-plugins. It costs 22 tokens per session (271 once invoked), scanned A, original, MIT.

A command that closes an active technical decision recorded in an Obsidian project. A technical decision is a documented choice about how a system should be built or changed.

In plain words
What is it for?
Use it to select a decision by number or ID, review it, optionally add a closing reason, and mark it closed.
Why use it?
It records when a decision is no longer active and can preserve the reason it was closed.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool; mentions Claude Code; runs codex exec.

Part of the obsidian-tracker plugin — 19 skills, 19 commands shipped together

Good fit Use it to select a decision by number or ID, review it, optionally add a closing reason, and mark it closed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivanlutsenko/awac-ai-agent-plugins/decision-close
Install

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.

Any agent
npx skills add IvanLutsenko/awac-ai-agent-plugins --skill decision-close
Clone the repo
git clone --depth 1 https://github.com/IvanLutsenko/awac-ai-agent-plugins

Made for: Claude Code.

Or install obsidian-tracker, the plugin that ships this one along with the rest of its 19 skills, 19 commands.

Wrote 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.

agentmods badge for obsidian-tracker-decision-close

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivanlutsenko/awac-ai-agent-plugins/decision-close/github.svg)](https://agentmods.dev/skills/ivanlutsenko/awac-ai-agent-plugins/decision-close)
Your own site
<a href="https://agentmods.dev/skills/ivanlutsenko/awac-ai-agent-plugins/decision-close"><img src="https://agentmods.dev/badge/skills/ivanlutsenko/awac-ai-agent-plugins/decision-close/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.

agentmods 80×15 button for obsidian-tracker-decision-close

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivanlutsenko/awac-ai-agent-plugins/decision-close"><img src="https://agentmods.dev/badge/skills/ivanlutsenko/awac-ai-agent-plugins/decision-close.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 271 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00022 $0.00271
Opus 5.5 $0.00009 $0.00108
Sonnet 5.5 $0.00004 $0.00054
Haiku 4.5 $0.00002 $0.00027

Measured 14d ago against content hash e44652cdcf21, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

obsidian-tracker-decision-close 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 14d 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.

plugins/obsidian-tracker/skills/generated-from-commands/decision-close/SKILL.md · 31 lines

What it actually says

Converted from Claude Code command /decision-close. Review and adapt: hooks and MCP tool IDs may need manual mapping for Codex.

/decision-close — Close Decision

Steps

  1. Determine project from tracking file or findProjectByLocalPath.

  2. Resolve decision ID:

    • If argument provided (e.g., 1 or DEC-001), use it directly.
    • Otherwise, call listDecisions with status="Active" and show the list. Ask user to pick.
  3. Show the decision via getDecision so the user can confirm.

  4. Ask for close reason (optional) via AskUserQuestion.

  5. Close via closeDecision.

  6. Confirm closure.

Codex differences

  • A non-interactive run (codex exec, CI) has nobody to answer a prompt: continue on defaults, honour whatever the invoking prompt already specified, and report which defaults were used. If the whole point of the command is to ask, say that it needs an interactive session and stop rather than inventing answers.
Changes

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.

  1. 14d ago Changed · +4 lines e44652cdcf21
  2. 1mo ago First seen · 27 lines · 22 tokens per session scan A c1762d183674

Subscribe to this mod's changes

obsidian-tracker-decision-close is a skill published in the GitHub repository IvanLutsenko/awac-ai-agent-plugins (3 stars, last pushed 3d ago), licensed MIT. It adds 22 tokens to every session and 271 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-05.

Related

Other skills, from other repositories