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/add-featurenpx skills add hellotern/Sextant --skill add-featuregit 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 | $0.00110 | $0.02573 |
| Opus 5 | $0.00055 | $0.01287 |
| Sonnet 5 | $0.00022 | $0.00515 |
| Haiku 4.5 | $0.00011 | $0.00257 |
Grade A, and why
add-feature 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 — 244 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
New Feature / Module Workflow
Core Principle
When adding new features, integrate into the existing architecture like a native, not an outsider who starts from scratch. New code should be fully consistent with existing code in style, structure, and interaction patterns.
Complete Execution Workflow
Progress tracking: At the start of each step, output an updated progress block. For Lightweight tasks show only Steps 3–4; for Medium/Large tasks show all steps.
Add Feature Progress ✓ Step 1: Architecture Research — <one-line finding> → Step 2: Solution Design + Confirm — in progress ○ Step 2.5: TDD Contract Tests — (Large/Medium only) ○ Step 3: Implement ○ Step 4: Architecture AuditReplace
○with→for the current step, and✓once complete.
Step 1: Understand the Existing Architecture
Before starting, you must be able to answer the following questions:
Architecture awareness:
- What architectural pattern does the project use? (MVC / MVVM / Clean Architecture / Component-based / Microservices…)
- How are similar existing features implemented? (Find the best reference)
- What is the logic behind the project's directory structure? (By layer, by feature, by domain?)
Positioning analysis:
- Which layer does the new feature belong to? Where is its entry point?
- Which existing modules does the new feature need to depend on?
- Are there already extendable abstraction points (e.g., existing strategy interfaces, factory registries, event buses), or do new ones need to be created?
Reference module:
- Find the most similar existing module to the new feature as an implementation reference
- Observe its file structure, naming conventions, dependency injection approach, error handling patterns, and test organization
- The new module should follow the same patterns as closely as possible
🔗 When GitNexus is available, use query / context MCP tools for architecture exploration.
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 · 244 lines · 110 tokens per session scan A e556989dc11e
add-feature is a skill published in the GitHub repository hellotern/Sextant (15 stars, last pushed 4mo ago), licensed MIT. It adds 110 tokens to every session and 2,573 once invoked, about $0.0006 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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