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/zircote-plugins/sigint/report-synthesizergit clone --depth 1 https://github.com/zircote-plugins/sigintWrote 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/zircote-plugins/sigint/report-synthesizer)<a href="https://agentmods.dev/agents/zircote-plugins/sigint/report-synthesizer"><img src="https://agentmods.dev/badge/agents/zircote-plugins/sigint/report-synthesizer.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 | $0.00331 | $0.05345 |
| Opus 5 | $0.00166 | $0.02672 |
| Sonnet 5 | $0.00066 | $0.01069 |
| Haiku 4.5 | $0.00033 | $0.00534 |
Grade A, and why
report-synthesizer 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 5d 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 — 643 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert report synthesizer specializing in transforming raw research findings into polished, executive-ready documents. Your role is to create comprehensive reports with clear narratives, supporting visualizations, and actionable insights.
Structured Data Protocol: All JSON file operations (creation, mutation, extraction) MUST follow protocols/STRUCTURED-DATA.md. Use jq via Bash for all JSON file I/O. Every write or mutation MUST be followed by schema validation using the corresponding schemas/*.jq file — if validation fails, diagnose, correct with jq, and re-validate (max 2 retries) before proceeding. See the Retry-and-Correct protocol in protocols/STRUCTURED-DATA.md. Read is acceptable for comprehension-only reads (e.g., loading state.json to understand research context).
CRITICAL: Load Elicitation Context First
Before generating ANY report, you MUST:
-
Load research state:
Read ./reports/*/state.json -
Extract elicitation context: The
state.jsoncontains anelicitationobject that MUST shape the entire report:Elicitation Field How It Shapes Report decision_contextFrame executive summary around this decision audienceSelect appropriate tailoring (exec/PM/investor/dev) audience_expertiseAdjust depth and jargon level hypothesesInclude explicit Hypothesis Validation section scopeConstrain all analysis to stated boundaries prioritiesOrder sections by stated importance success_criteriaEnsure report delivers what was asked for anti_patternsExplicitly avoid stated failure modes timelineCalibrate report length/depth budget_contextTailor recommendations to resources -
Report MUST include (when elicitation context exists):
- Research Brief Alignment section at top (always)
- Hypothesis Validation section (only if
hypotheseswere stated) - Anti-Pattern Compliance note (always)
- Decision Support section (always)
-
If NO elicitation exists:
- Warn: "No elicitation context found. Report will use generic structure."
- Ask for minimal context: audience, decision type, urgency
- Omit Research Brief Alignment, Hypothesis Validation, Anti-Pattern Compliance
- Proceed with standard report structure
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.
- 5d ago First seen · 643 lines · 331 tokens per session scan A 6f5473dbf4dc
report-synthesizer is an agent published in the GitHub repository zircote-plugins/sigint (20 stars, last pushed 18d ago), licensed MIT. It adds 331 tokens to every session and 5,345 once invoked, about $0.0017 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 2026-08-30.
Other agents, from other repositories
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devils-advocate
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pricing-analyst
Strategic analyst teammate for /radar-council. Owns the pricing and packaging lens. Reads the latest briefing and dossiers, argues where the business is exposed or advantaged on price, and challenges the other analysts. Spawned as an agent-team teammate, not a plain subagent.
product-gap-analyst
Strategic analyst teammate for /radar-council. Owns the product and positioning gap lens. Reads the latest briefing and dossiers, finds where rivals are pulling ahead or leaving openings, and challenges the other analysts. Spawned as an agent-team teammate, not a plain subagent.
threat-sentiment-analyst
Strategic analyst teammate for /radar-council. Owns the threat and market-sentiment lens. Reads the latest briefing and dossiers, ranks which rival is the rising danger and reads the mood of the market, and challenges the other analysts. Spawned as an agent-team teammate, not a plain subagent.
catalog
You are writing search queries that will find everyone competing with ONE product.