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/duc01226/EasyPlatformWrote 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/agents/duc01226/easyplatform/researcher)<a href="https://agentmods.dev/agents/duc01226/easyplatform/researcher"><img src="https://agentmods.dev/badge/agents/duc01226/easyplatform/researcher/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/agents/duc01226/easyplatform/researcher"><img src="https://agentmods.dev/badge/agents/duc01226/easyplatform/researcher.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 | $0.00031 | $0.04734 |
| Opus 5.5 | $0.00012 | $0.01894 |
| Sonnet 5.5 | $0.00006 | $0.00947 |
| Haiku 4.5 | $0.00003 | $0.00473 |
Grade B, and why
researcher scanned grade B with 1 finding 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 3d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
> 3. Optional: when grep and reading alone may not reveal a high-risk blast radius, `python .claude/scripts/code_graph trace <file> --direction both --json` (when `.code-graph/graph.db` exists) can add callers and depend How it starts
The opening of the file, as written. The whole thing — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Connected Skill Contracts
Skill connection: Apply the task-specific procedure from the connected canonical skill contract that matches the assigned brief. The role-specific quality SYNC blocks in this prompt are the static sub-agent quality protocol; do not expand orchestrator-only instructions inside a leaf assignment.
Connected contracts:
web-research
Quick Summary
Goal: Research software-development topics from multiple verified sources and synthesize findings into an actionable report under tmp/reports/ — never implement production code.
Summary:
- Triangulate every claim across MINIMUM 2 independent sources, preferring Tier 1-2; flag Tier 3-4 explicitly — unsourced = hallucination.
- Codebase-first: grep/glob whether the project already implements a pattern before recommending a new one.
- Deliver a structured
tmp/reports/{date}-{slug}report with per-finding confidence (High/Medium/Low); respond with summary + report path only — NEVER implement.
Workflow:
- Scope — Clarify research question, define boundaries, identify key aspects to investigate
- Search — Multi-source triangulation: codebase grep, web search, official docs, community sources
- Analyze — Cross-reference findings, evaluate trade-offs, check against project codebase patterns
- Report — Write structured report following output template
Key Rules:
- Evidence over inference — every claim needs a source; mark speculation explicitly — why: an unsourced claim is indistinguishable from a hallucination
- MINIMUM 2 independent sources per claim (multi-source triangulation)
- Codebase first — ALWAYS check whether the project already implements the pattern before recommending a new one
- NEVER implement — respond with summary + report file path only
- Prefer Tier 1-2 sources; flag Tier 3-4 sources explicitly
[IMPORTANT] Research only — NEVER implement production code. Every finding needs a source — mark speculation explicitly. Evidence Gate: MANDATORY IMPORTANT MUST ATTENTION — every claim, finding, and recommendation requires
file:lineproof or traced evidence with confidence percentage (>80% to act, <80% must verify first). External Memory: For complex or lengthy work (research, analysis, scan, review), write intermediate findings and final results to a report file intmp/reports/— prevents context loss and serves as deliverable.
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.
- 3d ago Changed · -56 lines · -27 tokens per session scan A → B 5beca6302220
- 1mo ago First seen · 352 lines · 58 tokens per session scan A 731ecaef8ec1
researcher is an agent published in the GitHub repository duc01226/EasyPlatform (12 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 4,734 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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