synthesis-catchup-ledger

synthesis-catchup-ledger is a skill for Claude Code, Codex from synthesisengineering/synthesis-skills. It costs 116 tokens per session (2,580 once invoked), scanned A, original, Apache-2.0.

A process for finding and sorting unfinished commitments after a break in a daily planning routine, such as travel, illness, or a busy work period.

In plain words
What is it for?
Use it to scan plans and project context over a chosen period, then create a dated ledger of tasks to do, verify, complete late, mark expired, or release.
Why use it?
It makes missed tasks visible instead of letting them disappear when plans and reviews were skipped.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the synthesis-skills plugin — 63 skills, 4 hooks shipped together

Good fit Use it to scan plans and project context over a chosen period, then create a dated ledger of tasks to do, verify, complete late, mark expired, or release.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/synthesisengineering/synthesis-skills/synthesis-catchup-ledger
Install

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.

Any agent
npx skills add synthesisengineering/synthesis-skills --skill synthesis-catchup-ledger
Clone the repo
git clone --depth 1 https://github.com/synthesisengineering/synthesis-skills

Made for: Claude Code, Codex.

Or install synthesis-skills, the plugin that ships this one along with the rest of its 63 skills, 4 hooks.

Wrote 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.

agentmods badge for synthesis-catchup-ledger

README.md
[![agentmods](https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-catchup-ledger/github.svg)](https://agentmods.dev/skills/synthesisengineering/synthesis-skills/synthesis-catchup-ledger)
Your own site
<a href="https://agentmods.dev/skills/synthesisengineering/synthesis-skills/synthesis-catchup-ledger"><img src="https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-catchup-ledger/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.

agentmods 80×15 button for synthesis-catchup-ledger

Your own site · 80×15
<a href="https://agentmods.dev/skills/synthesisengineering/synthesis-skills/synthesis-catchup-ledger"><img src="https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-catchup-ledger.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,580 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00116 $0.02580
Opus 5 $0.00058 $0.01290
Sonnet 5 $0.00023 $0.00516
Haiku 4.5 $0.00012 $0.00258

Measured 12d ago against content hash 4bd4e09b627b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

synthesis-catchup-ledger 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 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (catchup_scan.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/synthesis-catchup-ledger/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Synthesis Catch-up Ledger

Version 0.3.0 (2026-08-14)

Consumer note (v0.2.0): synthesis-console v0.14+ renders ledgers live at /ledger — it classifies H2 sections by the heading keywords used in this skill's output sections ("Do now", "Verify before re-adding", "Done late", "Expired", "Released") and reads per-row state from a State table column when present. Ledger files live at <knowledge-root>/catchup-ledgers/YYYY-MM-DD.md. If this skill's section vocabulary or table shapes change, update the console's src/parsers/ledger.ts + docs/cockpit-design.md in the same session — producer and consumer must change together.

The problem

Falling behind is part of life. Travel, family visits, illness, and crunch weeks interrupt the daily-ritual cadence, and the interruption itself is never the failure. The failure mode is silent: commitments made before the gap decay invisibly, because every existing artifact is scoped to a unit of time that assumes continuity. Daily plans capture one day's intent. Weekly loose-ends reviews (synthesis-daily-rituals v2.8.0) assume Fridays happen. Project CONTEXT files capture project state, not personal commitments. When the cadence breaks, nothing reconciles what was promised against what happened.

The result, observed repeatedly in practice: items survive as anxiety rather than as records. The person knows they're behind but not on what, so the backlog feels larger than it is, and genuinely-expired items consume attention that live items need.

What this skill produces

A catch-up ledger: one dated markdown document that reconciles an arbitrary look-back window (2 weeks, 6 weeks, a quarter) into classified, routed, honest state. The ledger is the accounting close for a period of interrupted attention. After reading it, the person knows: what still needs doing (prioritized), what got done late (credit recorded), what died (with the lesson extracted), and what was never theirs to carry (released).

Read the full file on GitHub · 153 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 12d ago First seen · 153 lines · 116 tokens per session scan A 4bd4e09b627b

Subscribe to this mod's changes

synthesis-catchup-ledger is a skill published in the GitHub repository synthesisengineering/synthesis-skills (19 stars, last pushed today), licensed Apache-2.0. It adds 116 tokens to every session and 2,580 once invoked, about $0.0006 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.

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