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-full)<a href="https://agentmods.dev/commands/synaptiai/synapti-marketplace/ledger-full"><img src="https://agentmods.dev/badge/commands/synaptiai/synapti-marketplace/ledger-full/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-full"><img src="https://agentmods.dev/badge/commands/synaptiai/synapti-marketplace/ledger-full.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 | $0.00000 | $0.02545 |
| Opus 5 | $0.00000 | $0.01273 |
| Sonnet 5 | $0.00000 | $0.00509 |
| Haiku 4.5 | $0.00000 | $0.00254 |
Grade B, and why
ledger-full scanned grade B with 1 finding 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
grep '^iteration:' .claude/ralph-loop.local.md How it starts
The opening of the file, as written. The whole thing — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full Pipeline Execution
Run the complete Context Ledger pipeline end-to-end with a single command.
The 5-Sentence Superprompt
Build the Vault first. Research every pillar this project depends on (market, users, tech, competitors, design, legal, ops, economics) in parallel, dumping evidence with confidence scores and assumptions into structured YAML files.
Synthesize before you spec. Transform raw evidence into pillar syntheses, then cross-synthesize to resolve conflicts into a single coherent strategy with explicit decisions and documented trade-offs.
Constrain everything. Generate PRD, architecture, and backlog where every section must cite a
DEC-*decision — if you can't trace it to evidence, it doesn't go in.Loop until done. When you find gaps, research more. When evidence conflicts, decide explicitly. When specs drift from decisions, regenerate.
Ship with receipts. Every claim traceable to evidence, every requirement traceable to a decision, every decision traceable to trade-offs considered.
Arguments
$ARGUMENTS: The project brief — a text description of what you're building.
Flags
| Flag | Description | Default |
|---|---|---|
--mode <mode> |
Execution mode: optimizer, tokenburner, or ralph |
Required |
--self-improve |
Enable gap analysis loops within the pipeline | Off |
--max-iterations <n> |
Safety limit (required for ralph mode) |
50 |
--completion-promise <text> |
Completion signal for ralph mode |
LEDGER_COMPLETE |
--path <path> |
Workspace location | ./ledger/ |
--pillars <list> |
Limit to specific pillars (comma-separated) | All 8 |
Execution Modes
--mode optimizer
Sustainable execution. Balances thoroughness with resource efficiency.
| Phase | Parallelism | Description |
|---|---|---|
| Research | 3 agents per pillar | 24 parallel researchers total |
| Synthesis | 3 pillar synthesizers | Sequential cross-synthesis |
| Specs | 1 spec-architect | Constrained generation |
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 · 323 lines · 0 tokens per session scan B 7cc45804aadb
ledger-full is a command published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,545 tokens. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
create-worktree
Follow these steps to create a git worktree.
paper-trail-review
Review and arbitrate problematic references (cascade-exhausted, unresolved UID, awaiting OCR). Generates an up-to-date report, walks through cases by category, and applies arbitration decisions to the registry.
paper-trail-new-paper
Start writing an academic paper (IMRaD structure) on a topic, with anti-hallucination citation verification at every step. Builds on existing audited SOTAs.
paper-trail-registry-cleanup
Nettoyage historique du registre des fiches bibliographiques (les 900 fiches existantes). Cible les vieilles fiches mal nommées (0000, untitled) ET les duplicates avec suffixes numériques (foo2020bar2, 234) qui sont des artefacts de runs INGEST passés. Délègue les décisions au sub-agent textbook-resolver. Les merge…
paper-trail-cascade
Acquire PDFs via the 8-source cascade (11 with opt-in extended sources) for a single ref by slug, or a batch filtered by state. Validates page 1 anti-homonymy on each download.
cc-refactor
(Conductor) Refactor a file or module for clarity and simplicity.