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 qf-studio/navigator --skill nav-diagnosegit clone --depth 1 https://github.com/qf-studio/navigatorWrote 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/qf-studio/navigator/nav-diagnose)<a href="https://agentmods.dev/skills/qf-studio/navigator/nav-diagnose"><img src="https://agentmods.dev/badge/skills/qf-studio/navigator/nav-diagnose/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/qf-studio/navigator/nav-diagnose"><img src="https://agentmods.dev/badge/skills/qf-studio/navigator/nav-diagnose.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 | $0.00043 | $0.02320 |
| Opus 5.5 | $0.00017 | $0.00928 |
| Sonnet 5.5 | $0.00009 | $0.00464 |
| Haiku 4.5 | $0.00004 | $0.00232 |
Grade A, and why
nav-diagnose 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 21d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- nav-diagnose — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 395 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Navigator Diagnose Skill
Detect when human-AI collaboration quality drops and prompt re-anchoring to restore effective communication.
Why This Exists (Theory of Mind)
Based on Riedl & Weidmann 2025 research on Human-AI Synergy:
- Theory of Mind varies dynamically within users (moment-to-moment)
- Quality drops occur when ToM alignment degrades
- Early detection and re-anchoring restores collaboration effectiveness
- Both user ToM (understanding Claude) and Claude's model of user can drift
This skill detects when collaboration is degrading and prompts corrective action.
When to Invoke
Auto-invoke when:
- 2+ corrections on the same topic detected
- User says "something seems off", "you're not getting this"
- User says "wrong again", "still not right"
- Context usage exceeds 75% and quality signals degrade
- User expresses frustration ("ugh", "sigh", explicit frustration)
- Loop mode stagnation detected (3+ same-state iterations)
DO NOT invoke if:
- Single correction (normal collaboration)
- User is providing new requirements (not correcting)
- Fresh session (insufficient data to diagnose)
- User explicitly says "it's fine" or "close enough"
Quality Drop Indicators
1. Repeated Corrections (High Severity)
Trigger: Same correction given 2+ times
Signal: "No, I said users plural, not user" (2nd time)
Issue: Not incorporating user feedback
2. Hallucination Signals (High Severity)
Trigger: References to non-existent files, functions, or packages
Signal: "That file doesn't exist", "There's no such function"
Issue: Generating from incorrect mental model
3. Context Confusion (Medium Severity)
Trigger: Mixing details from unrelated tasks
Signal: "That's from the other project", "Wrong feature"
Issue: Context window pollution or misattribution
4. Unaddressed Feedback (Medium Severity)
Trigger: User correction not reflected in next output
Signal: Generates same pattern after being told not to
Issue: Not properly updating internal model
What ships with it
1 file 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.
- 21d ago First seen · 395 lines · 43 tokens per session scan A 4573d31256db
nav-diagnose is a skill published in the GitHub repository qf-studio/navigator (355 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 2,320 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-25.
Other skills, from other repositories
nav-install-multi-claude
DEPRECATED. The multi-Claude orchestration scripts are deprecated in favor of native Claude Code Workflows; no installation is needed. Auto-invokes on "install multi-Claude workflows", "set up multi-Claude", "enable parallel execution" to explain the deprecation.
nav-multi
DEPRECATED. Multi-Claude shell orchestration is superseded by native Claude Code Workflows. Auto-invokes on "run multi-agent workflow", "parallel agents for", "multi-claude for", "spawn agents for" to redirect the user to the native Workflow and Agent tools.
product-design
Automates design review, token extraction, component mapping, and implementation planning. Reduces design handoff from 6-10 hours to 5 minutes via direct Figma MCP integration. Auto-invoke when user mentions design review, Figma mockup, or design handoff.
social-media-post
Generate optimized social media posts for Threads, X (Twitter), and LinkedIn. Analyzes platform algorithms, applies best practices, and creates engaging content tailored to each platform. Local skill for Navigator marketing only.
nav-loop
Run tasks until complete with structured completion signals. Auto-invoke when user says "run until done", "keep going until complete", "iterate until finished", "loop mode", "autonomous mode".
nav-skill-creator
Analyze codebase patterns and create custom skills for repetitive workflows. Use when project needs automation or pattern enforcement. Auto-invoke when user says "create a skill for...", "automate this workflow", or "we keep doing X manually".