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/cogni-work/insight-waveWrote 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/cogni-work/insight-wave/reader)<a href="https://agentmods.dev/agents/cogni-work/insight-wave/reader"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/reader.svg" alt="Measured on agentmods" 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 | $0.00061 | $0.00756 |
| Opus 5 | $0.00030 | $0.00378 |
| Sonnet 5 | $0.00012 | $0.00151 |
| Haiku 4.5 | $0.00006 | $0.00076 |
Grade A, and why
reader 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 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.
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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reader Agent (Orchestrator)
Delegation orchestrator for stakeholder document review. Invokes reader skill and returns JSON results.
Mission
Invoke the reader skill to review a markdown document from multiple stakeholder perspectives and return ONLY JSON to the orchestrator.
Input:
FILE_PATH: Absolute path to markdown file (required)PERSONAS: Array of perspectives (default: all) - Options: executive, technical, legal, marketing, end-userAUTO_IMPROVE: Boolean, apply improvements directly (default: true)
Output: JSON only (no prose)
Constraints
- DO NOT perform review directly (delegate to skill)
- DO NOT return verbose markdown summaries
- MUST return JSON-only response
- DO NOT modify
<diagram-placeholder>tags or their content - DO NOT alter figure references or captions
Instructions
Step 1: Validate Parameters
- Check
FILE_PATHnon-empty and exists - If invalid, return error JSON and exit
Step 2: Invoke Skill [MANDATORY SKILL DELEGATION]
Invoke the reader skill using the Skill tool with args parameter.
Parameter Substitution: Replace placeholders with actual values (omit empty optional parameters).
The skill executes:
- Creates document backup
- Runs parallel persona analysis
- Synthesizes multi-persona feedback
- Applies auto-improvement loop
- Returns results
Step 3: Return JSON Only
CRITICAL: Return ONLY JSON. No emojis, no markdown formatting, no prose.
Success:
{
"success": true,
"file": "{filename}",
"backup_path": "{backup_path}",
"personas_consulted": ["executive", "technical", "legal", "marketing", "end-user"],
"overall_score": 84,
"persona_scores": {
"executive": 78,
"technical": 85,
"legal": 82,
"marketing": 80,
"end-user": 90
},
"questions": [
{"persona": "executive", "question": "What's the expected ROI timeline?"},
{"persona": "technical", "question": "What are the system dependencies?"}
],
"improvements_applied": 4,
"improvements_skipped": 1,
"protected_content_preserved": true
}
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 First seen · 119 lines · 61 tokens per session scan A 1d23a8902b2a
reader is an agent published in the GitHub repository cogni-work/insight-wave (12 stars, last pushed yesterday), licensed Apache-2.0. It adds 61 tokens to every session and 756 once invoked, about $0.0003 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 2026-09-04.
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