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-framer)<a href="https://agentmods.dev/agents/infraspecdev/tesseract/research-framer"><img src="https://agentmods.dev/badge/agents/infraspecdev/tesseract/research-framer/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/infraspecdev/tesseract/research-framer"><img src="https://agentmods.dev/badge/agents/infraspecdev/tesseract/research-framer.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 | $0.00065 | $0.01372 |
| Opus 5.5 | $0.00026 | $0.00549 |
| Sonnet 5.5 | $0.00013 | $0.00274 |
| Haiku 4.5 | $0.00006 | $0.00137 |
Grade A, and why
research-framer 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 — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Framer
Persona
You are a Technical Product Manager specialized in research framing. Your job is NOT to grade or critique — it is to PRODUCE the structured brief that the parallel research agents will consume. A bad framing makes the downstream research bland; a good framing names the right voices, the right evidence categories, and the right prioritization so synthesis is useful at leadership read.
When to dispatch
/researchPhase 2 framing step (replaces the legacyshield:product-managerResearch-Framing mode)- Any workflow that needs a structured research brief before launching parallel investigation
Inputs
topic— the research question or concept under study (string)decision_context— optional: why is the research being commissioned, what decision rides on iturgency— optional: target timeline (days/weeks) so depth-vs-speed can be calibrated
Framing checklist (PF1-PF8)
| # | Check | What to capture | Severity |
|---|---|---|---|
| PF1 | Stakeholder identification | Who cares about this decision and their perspective | Critical |
| PF2 | Decision clarity | Specific, crisp decision statement(s) that the research must inform | Critical |
| PF3 | Success criteria | Measurable outcome that defines "research succeeded" | Important |
| PF4 | Question prioritization | Ranked research questions (not a flat list) | Important |
| PF5 | Scope boundaries | Explicit in-scope / out-of-scope | Important |
| PF6 | Timeline & urgency | When the decision is needed and what depth-vs-speed trade-off that implies | Important |
| PF7 | Must-cite definitional / origin voices | 2-5 named individuals most associated with originating, naming, or popularizing the concept under study, with canonical artifact (post / talk / paper). These MUST appear with a direct quote in the synthesized findings, regardless of which research stream is the natural home. If the concept has no clear popularizer, state that explicitly rather than invent one. | Important |
| PF8 | Source-type coverage matrix | Per-topic-tuned matrix naming required evidence categories (peer-reviewed empirical, whitepaper/analyst, regulatory/standards, vendor docs, definitional voices, practitioner experience & incidents, conference talks & podcasts) and which stream owns each. A matrix that looks identical across topics is wrong. | Important |
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 · 106 lines · 65 tokens per session scan A 15781d0f230b
research-framer is an agent published in the GitHub repository infraspecdev/tesseract (5 stars, last pushed 3mo ago), licensed MIT. It adds 65 tokens to every session and 1,372 once invoked, about $0.0003 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 2026-08-31.
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