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/synaptiai/synapti-marketplaceWrote 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/commands/synaptiai/synapti-marketplace/ledger-research)<a href="https://agentmods.dev/commands/synaptiai/synapti-marketplace/ledger-research"><img src="https://agentmods.dev/badge/commands/synaptiai/synapti-marketplace/ledger-research/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/commands/synaptiai/synapti-marketplace/ledger-research"><img src="https://agentmods.dev/badge/commands/synaptiai/synapti-marketplace/ledger-research.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 | $0.00009 | $0.01270 |
| Opus 5 | $0.00005 | $0.00635 |
| Sonnet 5 | $0.00002 | $0.00254 |
| Haiku 4.5 | $0.00001 | $0.00127 |
Grade A, and why
ledger-research 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 10d 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Evidence
Launch parallel evidence collection agents for all active pillars.
Parallel Execution: This command spawns up to 8
pillar-researcheragents in parallel, one for each active pillar. Evidence collection happens concurrently for maximum efficiency.
Arguments
$ARGUMENTS: Optional pillar filter or research focus.
Optional flags:
--pillars <list>- Only research specific pillars (comma-separated)--focus <topic>- Prioritize specific research topic across pillars--min <n>- Override minimum evidence per pillar (default: 5)
Prerequisites
- Ledger workspace initialized (
/ledger-initcompleted) 00-brief/BRIEF.mdexists01-pillars/PILLARS.mdexists
Workflow
-
Read Configuration
- Load brief from
00-brief/BRIEF.md - Load pillar priorities from
01-pillars/PILLARS.md - Identify active pillars
- Load brief from
-
Spawn Research Agents
- Launch
pillar-researcheragent for each active pillar - Pass pillar scope and project context
- Agents run in parallel
- Launch
-
Monitor Progress
- Track evidence creation per pillar
- Report gate status (minimum 5 per pillar)
-
Aggregate Results
- Collect summary from each agent
- Report total evidence objects
- Identify gaps and contradictions
Example Usage
Research all pillars
/ledger-research
Research specific pillars only
/ledger-research --pillars market,users,competitors
Research with specific focus
/ledger-research --focus pricing
Override minimum threshold
/ledger-research --min 3
Output
## Research Complete
**Total Evidence Objects:** 47
**Pillars Researched:** 8
**Gate Status:** ALL PASSED ✓
### Per-Pillar Summary
| Pillar | Objects | Gate | Key Finding |
|--------|---------|------|-------------|
| market | 7 | ✓ | TAM is $X billion |
| users | 6 | ✓ | 78% drop off at invitation |
| tech | 5 | ✓ | LLM costs $0.03/1K tokens |
| competitors | 6 | ✓ | 3 direct competitors |
| design | 5 | ✓ | WCAG 2.1 AA required |
| legal | 5 | ✓ | GDPR processing needed |
| ops | 5 | ✓ | 99.9% SLA expected |
| economics | 8 | ✓ | 70% gross margin target |
### Cross-Pillar Contradictions
- EV-market-pricing-smb-wtp (SMB WTP $29) vs EV-economics-pricing-premium ($49 target)
### Research Gaps
- User churn reasons need more depth
- Competitor roadmap intelligence limited
### Next Step
Run `/ledger-synthesize` to process evidence into insights.
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.
- 10d ago First seen · 189 lines · 9 tokens per session scan A fdcf6b7c65e7
ledger-research is a command published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed today), licensed Apache-2.0. It adds 9 tokens to every session and 1,270 once invoked, about $0.0000 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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paper-trail-new-paper
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paper-trail-registry-cleanup
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cc-refactor
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