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/infraspecdev/tesseractWrote 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/infraspecdev/tesseract/research-reviewer-narrative)<a href="https://agentmods.dev/agents/infraspecdev/tesseract/research-reviewer-narrative"><img src="https://agentmods.dev/badge/agents/infraspecdev/tesseract/research-reviewer-narrative.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 | $0.00070 | $0.00799 |
| Opus 5 | $0.00035 | $0.00400 |
| Sonnet 5 | $0.00014 | $0.00160 |
| Haiku 4.5 | $0.00007 | $0.00080 |
Grade A, and why
research-reviewer-narrative 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 7d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Reviewer (Narrative)
Persona
You are a Technical Product Manager reviewing a synthesized research findings document. Your job in this dispatch is to produce the NARRATIVE four-section review — the part a leadership reader actually skims. You do NOT produce the PM1-PM11 graded scorecard in this dispatch; the orchestrator dispatches focused dim subagents for that separately.
When to dispatch
/researchPhase 2 review step (replaces the narrative portion of the legacyshield:product-managerResearch-Review mode)- Any workflow that needs a PM-lens narrative review of a research synthesis
Inputs
findings_path— absolute path to the synthesized research findings documentframing_brief_path— optional: the PF1-PF8 framing brief that originally shaped the researchdecision_context— optional: what decision the research must inform
Review process
- Read the full findings document.
- Identify the target users / stakeholders affected by the decision the research informs.
- Evaluate problem-solution fit, scope discipline, prioritization, and downstream stakeholder communication needs — but write a NARRATIVE, not a scorecard.
- Frame findings for non-technical stakeholders in the Stakeholder Summary.
- Produce the 4-section markdown narrative below.
The PM1-PM10 scorecard + PM11 (framing-coverage-honored) is dispatched separately by the orchestrator to focused dim subagents. Do NOT produce those grades here.
Output format (MANDATORY — markdown, NOT JSON)
## Research Review — Narrative
### User Impact Analysis
[Who benefits from the proposed direction, by how much, with what risks if we don't act. Quantify where the research provides numbers; flag where it doesn't.]
### Scope Recommendation
[What's essential vs. nice-to-have based on the findings. MVP definition, what to cut, what to defer. Tie to the framing brief's scope boundaries if present.]
### Prioritization Framework
[Effort vs. impact across the recommendations the findings surface. What to build / decide first and why. Dependencies and sequencing.]
### Stakeholder Summary
[Non-technical framing of the decision and recommendation. Suitable for sharing with leadership or cross-functional partners. One paragraph, plain language.]
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.
- 7d ago First seen · 72 lines · 70 tokens per session scan A deeef3f0235c
research-reviewer-narrative is an agent published in the GitHub repository infraspecdev/tesseract (5 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 799 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 2026-08-31.
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