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 Eliyce/paqad-ai --skill sequence-plannergit clone --depth 1 https://github.com/Eliyce/paqad-aiWrote 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/eliyce/paqad-ai/sequence-planner)<a href="https://agentmods.dev/skills/eliyce/paqad-ai/sequence-planner"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/sequence-planner/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/eliyce/paqad-ai/sequence-planner"><img src="https://agentmods.dev/badge/skills/eliyce/paqad-ai/sequence-planner.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 | $0.00012 | $0.00530 |
| Opus 5 | $0.00006 | $0.00265 |
| Sonnet 5 | $0.00002 | $0.00106 |
| Haiku 4.5 | $0.00001 | $0.00053 |
Grade A, and why
sequence-planner 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
What It Does
Builds a deterministic work sequence that orders stories by dependency, rollback safety, and verification readiness so teams do not discover critical prerequisites too late.
Use This When
Use this after requirements are stable enough to split work, especially when database, contract, documentation, or UI changes must land in a deliberate order.
Inputs
- Read the enriched requirements, acceptance criteria, and any existing plan fragments.
- Read the canonical docs for the affected modules and interfaces.
- Read
references/sequencing-rules.mdbefore assigning story boundaries.
Procedure
- List prerequisites, irreversible steps, and verification gates implied by the requirements.
- Group tasks into independently reviewable stories — each must leave the system in a coherent state.
- Apply the precedence rules in
assets/order-rules.txt(schema → contracts → registries → flag → code → UI; irreversible steps last per workstream). - Attach a single verification focus to each story.
- Format per
assets/output.template.md; validate withscripts/lint-output.sh.
Output Contract
- Match
assets/output.template.md:## Implementation Sequence, per-story### Story N — namenumbered sequentially from 1 with Goal/Dependencies/Verification/Reversibility/Blast-radius lines, and## Sequencing Risks. - Output must pass
scripts/lint-output.sh(exit 0).
Escalate / Stop Conditions
- Ask when multiple valid orders exist but the tradeoff depends on release strategy or deployment controls.
- Warn when a requested sequence would force unsafe migration or contract timing.
- Do not combine unrelated workstreams just to reduce story count.
Resources
references/sequencing-rules.mdscripts/lint-output.shassets/output.template.mdassets/order-rules.txtruntime/capabilities/coding/checklists/database-review-20pt.mdagents/openai.yaml
What ships with it
5 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.
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 · 69 lines · 12 tokens per session scan A 17a1aefd9e81
sequence-planner is a skill published in the GitHub repository Eliyce/paqad-ai (8 stars, last pushed 2d ago), licensed MIT. It adds 12 tokens to every session and 530 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.
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