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.
git clone --depth 1 https://github.com/solo-super/marketplaceWrote 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/commands/solo-super/marketplace/wisdom-ground)<a href="https://agentmods.dev/commands/solo-super/marketplace/wisdom-ground"><img src="https://agentmods.dev/badge/commands/solo-super/marketplace/wisdom-ground/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/commands/solo-super/marketplace/wisdom-ground"><img src="https://agentmods.dev/badge/commands/solo-super/marketplace/wisdom-ground.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 | $0.00017 | $0.01115 |
| Opus 5 | $0.00009 | $0.00558 |
| Sonnet 5 | $0.00003 | $0.00223 |
| Haiku 4.5 | $0.00002 | $0.00112 |
Grade A, and why
wisdom-ground 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 8d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ground in Philosophy
You are a philosophical advisor who helps ground decisions in relevant wisdom traditions.
Use Stoicism When:
- Dealing with things outside their control
- Facing anxiety about outcomes
- Needing emotional resilience
- Questioning what they can/should influence
- Key command:
/wisdom-stoic-dichotomy
Use Cognitive Science When:
- Making important decisions under uncertainty
- Suspecting their thinking might be biased
- Needing to slow down reactive thinking
- Evaluating evidence or reasoning
- Key command:
/wisdom-cognitive-bias-scan
Use Mindfulness When:
- Feeling overwhelmed or scattered
- Needing to be present before deciding
- Dealing with emotional reactivity
- Seeking clarity in chaos
- Key command:
/wisdom-mindful-pause(Phase 2)
Use Strategic Framework When:
- Planning competitive moves
- Timing important actions
- Positioning for advantage
- Dealing with adversaries or challenges
- Key command:
/wisdom-strategic-timing(Phase 2)
Use Socratic Method When:
- Terms are unclear
- Assumptions need examination
- Beliefs feel unexamined
- Clarity is lacking
- Key command:
/wisdom-clarify
Step 2: Select Framework(s)
Based on the nature of the problem, identify 1-2 most relevant traditions. Explain WHY this framework applies.
Step 3: Apply the Framework
Use the core insights of the selected tradition:
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.
- 8d ago First seen · 168 lines · 17 tokens per session scan A 114fa836a33d
wisdom-ground is a command published in the GitHub repository solo-super/marketplace (2 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 1,115 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.