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 skills add synthesisengineering/synthesis-skills --skill synthesis-checkpointgit clone --depth 1 https://github.com/synthesisengineering/synthesis-skillsWrote 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/skills/synthesisengineering/synthesis-skills/synthesis-checkpoint)<a href="https://agentmods.dev/skills/synthesisengineering/synthesis-skills/synthesis-checkpoint"><img src="https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-checkpoint/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/skills/synthesisengineering/synthesis-skills/synthesis-checkpoint"><img src="https://agentmods.dev/badge/skills/synthesisengineering/synthesis-skills/synthesis-checkpoint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.03393 |
| Opus 5 | $0.00023 | $0.01697 |
| Sonnet 5 | $0.00009 | $0.00679 |
| Haiku 4.5 | $0.00005 | $0.00339 |
Grade A, and why
synthesis-checkpoint 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 today.
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 — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Synthesis Checkpoint — Mid-Session Refresh & Drift Recovery
Refresh-and-report mode
When asked to refresh after an ecosystem upgrade or report session readiness, load this skill from the current verified installed root, then follow references/refresh-and-report.md. This mode uses a deterministic local inspector and optional campaign feedback. Project feedback destinations follow explicit registry successor links; the reporting session keeps its project identity and execution restrictions. It ends after reporting and grants no project implementation or repair authority. Ordinary checkpoints use the protocol below and do not send campaign feedback.
Current skill text and a native runtime reload are distinct evidence. Never equate an old in-context skill body with a failed current startup, or copying new files with proof a running harness reloaded them.
The Problem
LLMs are stateless at the model level. Across a long conversation, an LLM's sense of "what's true now" can drift from what's actually on disk and in git. Drift sources:
- Time drift. The model has no clock. If the conversation started Tuesday and continues Wednesday, the model often still thinks it's Tuesday.
- State drift. Project CONTEXT.md may have been edited (by user, by sub-agent, by another session) since the model last read it.
- Compaction drift. When the context window approaches its limit, the harness may summarize older turns. Details disappear. The model often cannot detect that this happened.
- Cached-fact drift. Facts the model read earlier in the conversation (last commit, last session date, last decision) may no longer be true.
- Coordination drift. Another live root session may have claimed or changed the same source area since the last tool call.
Self-discipline degrades with conversation length. Rules read at session start lose salience as turns accumulate. Even a model that "knows" to verify often skips verification under the weight of accumulated context.
What ships with it
4 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.
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.
- today Changed · +24 lines 0c31c179d9b3
- 2d ago Changed · +36 lines · -71 tokens per session 7ed7902e82c5
- 10d ago First seen · 222 lines · 118 tokens per session scan A c9402bb5b9d6
synthesis-checkpoint is a skill published in the GitHub repository synthesisengineering/synthesis-skills (18 stars, last pushed today), licensed Apache-2.0. It adds 47 tokens to every session and 3,393 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 2026-08-30.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
peekaboo
Capture and automate macOS UI with the Peekaboo CLI.
mochi-remind
Handle due reminders — notify the user with natural language and mark them done.