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 thapaliyabikendra/ai-artifacts --skill knowledge-discoverygit clone --depth 1 https://github.com/thapaliyabikendra/ai-artifactsWrote 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/thapaliyabikendra/ai-artifacts/knowledge-discovery)<a href="https://agentmods.dev/skills/thapaliyabikendra/ai-artifacts/knowledge-discovery"><img src="https://agentmods.dev/badge/skills/thapaliyabikendra/ai-artifacts/knowledge-discovery/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/thapaliyabikendra/ai-artifacts/knowledge-discovery"><img src="https://agentmods.dev/badge/skills/thapaliyabikendra/ai-artifacts/knowledge-discovery.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 | $0.00048 | $0.01854 |
| Opus 5.5 | $0.00019 | $0.00742 |
| Sonnet 5.5 | $0.00010 | $0.00371 |
| Haiku 4.5 | $0.00005 | $0.00185 |
Grade A, and why
knowledge-discovery 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 1mo 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Knowledge Discovery
Adaptive discovery skill with tiered efficiency for different task complexities.
Discovery Tiers
| Tier | When to Use | Files Read | Time Cost |
|---|---|---|---|
| SKIP | Simple/obvious tasks, single file edits | 0 | ~0s |
| QUICK | Single-skill tasks, known patterns | Quick ref only | ~2s |
| STANDARD | Multi-skill tasks, unfamiliar patterns | INDEX + GRAPH | ~10s |
| DEEP | Full feature implementation, CRUD flows | All 4 steps | ~15-20s |
Tier Selection Guide
START: What's the task?
│
├─ "Fix typo" / "Add comment" / "Simple edit"
│ └─ SKIP (no discovery needed)
│
├─ "Write tests" / "Add validation" / "Single pattern"
│ └─ QUICK (use inline reference below)
│
├─ "Design API" / "Debug error" / "Multi-step task"
│ └─ STANDARD (read SKILL-INDEX + CONTEXT-GRAPH)
│
└─ "Implement CRUD" / "Add feature" / "Full workflow"
└─ DEEP (full 4-step protocol)
QUICK Tier: Inline Reference
Use this for single-skill tasks without reading any files:
| Task | Skill | No Lookup Needed |
|---|---|---|
| Entity/DTO/AppService | abp-framework-patterns |
✓ |
| DbContext/Migration | efcore-patterns |
✓ |
| Input validation | fluentvalidation-patterns |
✓ |
| Permissions/Auth | openiddict-authorization |
✓ |
| Unit/Integration tests | xunit-testing-patterns |
✓ |
| E2E tests | e2e-testing-patterns |
✓ |
| Query optimization | linq-optimization-patterns |
✓ |
| API design | api-design-principles |
✓ |
| Technical design doc | technical-design-patterns |
✓ |
| Debug/errors | debugging-patterns |
✓ |
| Docker/.NET | docker-dotnet-containerize |
✓ |
| Git advanced | git-advanced-workflows |
✓ |
| Security audit | security-patterns |
✓ |
Common Error → Skill:
| Error | Skill |
|---|---|
| N+1 query | linq-optimization-patterns |
| Authorization failed | openiddict-authorization |
| Validation failed | fluentvalidation-patterns |
| DbUpdateException | efcore-patterns |
| Task was canceled | dotnet-async-patterns |
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.
- 1mo ago First seen · 211 lines · 48 tokens per session scan A 321dbe05c3a4
knowledge-discovery is a skill published in the GitHub repository thapaliyabikendra/ai-artifacts (24 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 48 tokens to every session and 1,854 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 2026-09-03.
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