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 agentmods add skills/kkenny0/tracework/recallnpx skills add KKenny0/Tracework --skill recallgit clone --depth 1 https://github.com/KKenny0/TraceworkWrote 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/kkenny0/tracework/recall)<a href="https://agentmods.dev/skills/kkenny0/tracework/recall"><img src="https://agentmods.dev/badge/skills/kkenny0/tracework/recall.svg" alt="Measured on agentmods" 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 | $0.00083 | $0.01473 |
| Opus 5 | $0.00042 | $0.00737 |
| Sonnet 5 | $0.00017 | $0.00295 |
| Haiku 4.5 | $0.00008 | $0.00147 |
Grade A, and why
recall 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 5d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
5 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.
- 5d ago First seen · 153 lines · 83 tokens per session scan A 7504013d876d
recall is a skill published in the GitHub repository KKenny0/Tracework (2 stars, last pushed 5d ago), with no licence file. It adds 83 tokens to every session and 1,473 once invoked, about $0.0004 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 skills, from other repositories
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catchup
Restore context after /clear by summarizing recent work and project state.
lane-memory
SMA-style project fact corpus under .agents/memory/. Opt-in via adoc stages.memory.enabled. Use when user says память, lane-memory, corpus, CORE, почему бот забыл, or an agent needs durable non-code facts. Not PROGRESS/LESSONS dumps.
doncheli-context-health
Report the current state of the context window and recommend compression or cleanup actions. Activate when user mentions "context health", "context window", "how much context", "context full", "running out of context", "compress context".
vibe-coding-survival
Vibe Coding（用 AI 写代码）开发过程中的避坑与自救——真正翻车大多发生在"开工后"。 当用户说"AI 越改越乱"、"demo 改坏了退不回去"、"AI 老忘记之前说的"、"功能越加越多很乱"、 "AI 说做好了但其实没用"，或者正在用 AI 持续开发一个项目时，主动使用此 Skill。 涵盖：管理 AI 对话（防忘事）、守住范围（防膨胀）、保住能用的版本（防丢失）、让 AI 证明给你看（防轻信）， 以及哪些事必须找真人工程师的「红线」，和把一切串起来的「项目说明书」。 这是 vibe-coding-kit 套件里贯穿整个开发过程的 Skill，建议从第一行代码起就配合使用。.
context-dump
Sync 7 days of GitHub activity (commits, PRs, issues, reviews) into a structured context dump. Optionally pull from Slack, GDrive, or Asana if configured. Use at the start of a session to get fully caught up before coding.