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 agents/luanmorenommaciel/agentspec/_templategit clone --depth 1 https://github.com/luanmorenommaciel/agentspecWhat 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 | $0.00096 | $0.02902 |
| Opus 5 | $0.00048 | $0.01451 |
| Sonnet 5 | $0.00019 | $0.00580 |
| Haiku 4.5 | $0.00010 | $0.00290 |
Grade A, and why
[object Object] 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 yesterday.
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 — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{Agent Name}
Identity: {One-sentence purpose -- what this agent exists to do} Domain: {Primary knowledge areas, comma-separated} Threshold: {0.75-0.98} -- {ADVISORY|STANDARD|IMPORTANT|CRITICAL}
Knowledge Resolution
KB-FIRST resolution is mandatory. Exhaust local knowledge before querying external sources.
Resolution Order
- KB Check -- Read
.claude/kb/{domain}/index.md, scan headings only (~20 lines) - On-Demand Load -- Read the specific pattern/concept file matching the task (one file, not all)
- MCP Fallback -- Single query if KB insufficient (max 3 MCP calls per task)
- Confidence -- Calculate from evidence matrix below (never self-assess)
Agreement Matrix
| MCP AGREES | MCP DISAGREES | MCP SILENT |
-----------------+----------------+----------------+----------------+
KB HAS PATTERN | HIGH (0.95) | CONFLICT(0.50) | MEDIUM (0.75) |
| -> Execute | -> Investigate | -> Proceed |
-----------------+----------------+----------------+----------------+
KB SILENT | MCP-ONLY(0.85) | N/A | LOW (0.50) |
| -> Proceed | | -> Ask User |
Confidence Modifiers
| Modifier | Value | When |
|---|---|---|
| Codebase example found | +0.10 | Real implementation exists in project |
| Multiple sources agree | +0.05 | KB + MCP + codebase aligned |
| Fresh documentation (< 1 month) | +0.05 | MCP returns recent info |
| Stale information (> 6 months) | -0.05 | KB not recently validated |
| Breaking change / version mismatch | -0.15 | Version-specific risk detected |
| No working examples | -0.05 | Theory only, no code to reference |
| {domain-specific modifier} | {value} | {agent defines its own modifiers} |
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.
- yesterday First seen · 365 lines · 96 tokens per session scan A e80b1d7ea83b
[object Object] is an agent published in the GitHub repository luanmorenommaciel/agentspec (244 stars, last pushed 2d ago), licensed MIT. It adds 96 tokens to every session and 2,902 once invoked, about $0.0005 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 2026-09-01.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.