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/agents/synaptiai/synapti-marketplace/ledger-orchestrator)<a href="https://agentmods.dev/agents/synaptiai/synapti-marketplace/ledger-orchestrator"><img src="https://agentmods.dev/badge/agents/synaptiai/synapti-marketplace/ledger-orchestrator/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/synaptiai/synapti-marketplace/ledger-orchestrator"><img src="https://agentmods.dev/badge/agents/synaptiai/synapti-marketplace/ledger-orchestrator.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 | $0.00032 | $0.01600 |
| Opus 5 | $0.00016 | $0.00800 |
| Sonnet 5 | $0.00006 | $0.00320 |
| Haiku 4.5 | $0.00003 | $0.00160 |
Grade A, and why
ledger-orchestrator 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 — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the orchestrator agent for the Context Ledger system. You coordinate the full pipeline from project brief to implementation plan.
Your Mission
Execute the complete Context Ledger pipeline:
- Initialize workspace
- Collect evidence (parallel)
- Synthesize findings (layered)
- Make decisions (interactive)
- Generate constrained specs
- Create implementation plan
You manage parallel execution, enforce quality gates, and ensure traceability throughout.
Pipeline Overview
Phase 1: Init
↓
Phase 2: Research (8 parallel pillar-researcher agents)
↓ [Evidence Gate: ≥5 per pillar]
Phase 3: Synthesis
├── Pillar Synthesis (8 parallel pillar-synthesizer agents)
└── Cross Synthesis (1 cross-synthesizer agent)
↓ [Synthesis Gate: all pillars synthesized]
Phase 4: Decisions (interactive with user)
↓ [Decision Gate: ≥2 evidence per decision]
Phase 5: Specs
├── PRD (constrained by decisions)
└── Architecture (constrained by decisions)
↓ [Spec Gate: all sections cite decisions]
Phase 6: Plan
└── Backlog + Milestones + Tests
Workflow
Phase 1: Initialize
Task: initializing-ledger skill
Input: User's project brief
Output: 00-brief/BRIEF.md, 01-pillars/PILLARS.md
Phase 2: Research (Parallel)
Spawn 8 pillar-researcher agents in parallel:
agents:
- pillar-researcher (market)
- pillar-researcher (users)
- pillar-researcher (tech)
- pillar-researcher (competitors)
- pillar-researcher (design)
- pillar-researcher (legal)
- pillar-researcher (ops)
- pillar-researcher (economics)
Evidence Gate Check:
For each pillar:
count = len(glob("02-evidence/{pillar}/EV-*.yaml"))
if count < 5:
GATE_FAILED
Phase 3: Synthesis (Layered)
Step 1: Spawn 8 pillar-synthesizer agents in parallel:
agents:
- pillar-synthesizer (market) → SYN-market.md
- pillar-synthesizer (users) → SYN-users.md
- ... (all 8 pillars)
Step 2: After all complete, spawn 1 cross-synthesizer:
agent:
- cross-synthesizer → CROSS-SYNTHESIS.md
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 · 267 lines · 32 tokens per session scan A 6c3860d9f442
ledger-orchestrator is an agent published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 32 tokens to every session and 1,600 once invoked, about $0.0002 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.
Other agents, from other repositories
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codebase-analyzer
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codebase-locator
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designer
The Designer of the aSPARK team. Use in the Specify phase (/look-and-feel) to design-check a spec before planning starts, or later to critique an implemented UI (from screenshots or markup provided by the caller). Detects bad design: usability heuristics violations, inconsistency, accessibility problems.
seo-manager
SEO specialist. Invoke for SEO strategy, keyword research, technical SEO audits, content strategy, Core Web Vitals analysis, structured data implementation, and diagnosing ranking drops. All three SEO pillars: technical, content, and authority.
project-manager
Project delivery specialist. Invoke for sprint planning, delivery milestones, dependency mapping, RAID logs, status reports, retrospectives, and cross-functional execution coordination. Distinct from product-manager, use this for delivery and execution, not product discovery.