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.
git clone --depth 1 https://github.com/nunoamorim99/agile-ledgerWrote 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/commands/nunoamorim99/agile-ledger/refine)<a href="https://agentmods.dev/commands/nunoamorim99/agile-ledger/refine"><img src="https://agentmods.dev/badge/commands/nunoamorim99/agile-ledger/refine/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/commands/nunoamorim99/agile-ledger/refine"><img src="https://agentmods.dev/badge/commands/nunoamorim99/agile-ledger/refine.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 | $0.00022 | $0.00132 |
| Opus 5 | $0.00011 | $0.00066 |
| Sonnet 5 | $0.00004 | $0.00026 |
| Haiku 4.5 | $0.00002 | $0.00013 |
Grade A, and why
refine 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.
What it actually says
Using the Agile-Ledger skill, run a backlog refinement pass over Agile-Ledger/Epic-Backlog.md. Surface: under-detailed top-of-backlog items, oversized or horizontally-sliced stories (suggest vertical splits), dangling dependencies, and stories failing INVEST or the Definition of Ready. Report findings; fix only on explicit request.
Read Draft index lines from Epic-Backlog.md and Ready detail from User-Stories.md.
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 · 7 lines · 22 tokens per session scan A 622894beee14
refine is a command published in the GitHub repository nunoamorim99/agile-ledger (1 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 132 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 2026-08-31.
Other commands, from other repositories
diagnose-underperformer
Diagnose why a specific Google Ads or Meta Ads campaign / ad set / ad is underperforming and prescribe the next concrete action. Use when the user says something like "why is X not converting?", "this campaign is wasting money", or "why are impressions so low?". Read-only — no changes are made.
launch-meta-campaign
Launch a complete Meta Ads campaign — campaign, ad set, and ad(s) — built paused and ready to review. Use when the user wants a new Facebook/Instagram campaign.
launch-pmax
Launch a Google Ads Performance Max campaign with a complete asset group, audience signals, and (for ecom) listing groups. Built paused for review. Use when the user wants a new PMax campaign.
negative-keyword-sweep
Find wasted spend in Google Ads search terms and add negatives at the right scope (account list, campaign, or ad group). Use when the user says "find junk keywords", "stop wasting on bad searches", or wants a search-terms cleanup.
duck-off
Turn off Rubber Duck mode and answer normally.
create-ticket
Create a work-item ticket (GitHub issue / Jira) from an existing requirements.md, then promote its draft spec folder to docs/specs/ /.