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 agentmods add skills/hellotern/sextant/plannpx skills add hellotern/Sextant --skill plangit clone --depth 1 https://github.com/hellotern/SextantWhat 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 | $0.00161 | $0.02020 |
| Opus 5 | $0.00081 | $0.01010 |
| Sonnet 5 | $0.00032 | $0.00404 |
| Haiku 4.5 | $0.00016 | $0.00202 |
Grade A, and why
plan 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 2d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
!../principles/SKILL_BODY.md
!../tool-gitnexus/SKILL_BODY.md
Sprint Planning Workflow
Core Principle
A plan is only as good as its dependency order. Tasks executed out of order produce integration failures that look like bugs but are actually sequencing errors. The goal is a dependency-ordered task list where each task has a clear skill assignment, a bounded scope, and a single testable acceptance condition.
Upstream skill:
sextant:refine-requirementsanswers "what to build" and produces a requirements confirmation document. This skill answers "how to build it and in what order." If requirements are still unclear or unconfirmed, usesextant:refine-requirementsfirst.
Complete Execution Workflow
Session Resume Check
Before Step 1, check whether .sextant/state.json exists in the project root.
If the file exists: display the current sprint summary (requirement name, task statuses) and ask:
"An existing sprint plan was found. Resume it, or start a new plan?"
- Resume: present the task list with current statuses; skip to the Execution Handoff section. Continue from the first
pendingorin_progresstask. - New plan: proceed with Steps 1–4 normally. Confirm with the user before overwriting the existing state.
If the file does not exist: proceed with Step 1 normally.
Step 1: Parse Inputs
Accept either a requirements confirmation document (output of sextant:refine-requirements) or a clearly stated, unambiguous requirement. Extract:
- Modules involved: which existing modules will be modified or extended?
- Entry points: where does the new behavior surface (API endpoint, CLI command, UI trigger, event producer)?
- Integration points: where does the new code connect to existing code (interfaces, events, shared data structures, registries)?
- Paradigm: which architecture paradigm applies (per §6.0)? — determines the default layer ordering in Step 2.
🔗 When GitNexus is available, use context / query MCP tools to extract module relationships automatically.
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.
- 2d ago First seen · 200 lines · 161 tokens per session scan A bcb849128b71
plan is a skill published in the GitHub repository hellotern/Sextant (15 stars, last pushed 4mo ago), licensed MIT. It adds 161 tokens to every session and 2,020 once invoked, about $0.0008 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 2026-08-30.
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