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 orin-dx/agent-plugins --skill prioritize-backloggit clone --depth 1 https://github.com/orin-dx/agent-pluginsWrote 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/orin-dx/agent-plugins/prioritize-backlog)<a href="https://agentmods.dev/skills/orin-dx/agent-plugins/prioritize-backlog"><img src="https://agentmods.dev/badge/skills/orin-dx/agent-plugins/prioritize-backlog.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 5.1 | $0.00045 | $0.00366 |
| Opus 5 | $0.00023 | $0.00183 |
| Sonnet 5 | $0.00009 | $0.00073 |
| Haiku 4.5 | $0.00005 | $0.00037 |
Grade A, and why
prioritize-backlog 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 yesterday.
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
Prioritize the backlog
Outcome
Return a stable ranking that explains why each requirement belongs where it does and makes dependency constraints visible.
Workflow
- Validate the supplied requirements with
shared/schemas/[email protected]. - Extract explicit priority, stakeholder impact, urgency signals, and dependency evidence. Treat missing evidence as uncertainty, not a low score disguised as fact.
- Build a dependency order first. A prerequisite ranks ahead of work that cannot start without it, unless the dependency claim is unsupported.
- Order independently executable work by impact and urgency, then explain ties using the evidence available.
- Return
requirement_id,rank,rationale,depends_on, and confidence for every item. Do not mutate requirement artifacts.
Contract
- Input schema:
shared/schemas/[email protected] - Output: read-only ranking report; ranking is advisory and does not change
priorityfields - Next step: route the selected requirement to
scribe:draft-spec.
Teams and fallback
Before delegating, read agent-roles/README.md; use recon for independent dependency clusters and retain cross-cluster ordering with the primary agent.
For a large backlog, a team may inspect independent dependency clusters, but one primary agent must reconcile cross-cluster edges and publish the final total order. For a small list, work alone.
Boundaries
- Do not claim a numeric precision the evidence cannot support.
- Do not convert a stakeholder preference into an architectural dependency without evidence.
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.
- yesterday Changed · +8 lines · -49 tokens per session c0aa2c6c0050
- 4d ago First seen · 28 lines · 94 tokens per session scan A 177f493f5f6c
prioritize-backlog is a skill published in the GitHub repository orin-dx/agent-plugins (1 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 366 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 2026-09-03.
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