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 ericlitman/open-pstack --skill ketchupgit clone --depth 1 https://github.com/ericlitman/open-pstackWrote 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/ericlitman/open-pstack/ketchup)<a href="https://agentmods.dev/skills/ericlitman/open-pstack/ketchup"><img src="https://agentmods.dev/badge/skills/ericlitman/open-pstack/ketchup/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/ericlitman/open-pstack/ketchup"><img src="https://agentmods.dev/badge/skills/ericlitman/open-pstack/ketchup.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 | $0.00042 | $0.00595 |
| Opus 5.5 | $0.00017 | $0.00238 |
| Sonnet 5.5 | $0.00008 | $0.00119 |
| Haiku 4.5 | $0.00004 | $0.00060 |
Grade A, and why
ketchup 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 3d 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.
This is a copy
88% identical to ketchup — 29 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 28 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ketchup
Catch the user up on everything in this chat since the last message they wrote before /ketchup. Notifications and subagent results are not their messages. Write in the plain voice of /bro, and skip its restating step. Assume the user remembers their last message and nothing after it. Call each PR, branch, or agent by a name they would know, not by a label you invented during the work.
Gather what changed
Keep this turn read-only, except for visuals you make for the reply from what you already have. Do not change code, start an app or a job, or post anything to make them. Collect your own work since that message, reports from subagents, and messages from anyone else in this chat. Check the current state of each PR, CI run, or agent this chat touched. Say which are still running and which you could not check.
An action item is a decision or step only the user can take, such as a product choice, an approval, an irreversible action, or access you lack. Include any still waiting on the user, even one raised before their last message. Work you can still do yourself is not an action item.
Write the reply
Open with one sentence that says how many action items there are, or that there are none. If nothing happened and nothing waits on the user, say so and stop.
Then say what happened, most important first. Give each result and what it means for the user. Skip steps that changed nothing. Name in one line any work left that you can do yourself.
Then give each action item a short executive summary. Cover the decision to make, why it matters now, the options and what each costs, your recommendation, and what happens if the user does not answer. If you do not know a part, say so instead of guessing. Link to the detail when there is one, and write the summary so the user can decide without opening it.
Show each action item as a before and after, side by side. For a choice, put the current state beside each option, or the options alone when there is no current state. Use screenshots or a video when the change is visible. Otherwise use another artifact, such as a table of numbers, a diff, or a diagram. If no visual exists yet, make one. If you cannot, say plainly that none exists. Never invent a number, and never draw or generate a picture of a screen you did not capture. Link only artifacts that exist.
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.
- 3d ago Changed · +4 lines 3b00c552fdb2
- 4d ago First seen · 24 lines · 42 tokens per session scan A f460a861cf21
ketchup is a skill published in the GitHub repository ericlitman/open-pstack (420 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 595 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 88% identical to ketchup, differing in 29 lines, and is treated as a copy.
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