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/open330/context-compress/doctornpx skills add Open330/context-compress --skill doctorgit clone --depth 1 https://github.com/Open330/context-compressWrote 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/open330/context-compress/doctor)<a href="https://agentmods.dev/skills/open330/context-compress/doctor"><img src="https://agentmods.dev/badge/skills/open330/context-compress/doctor.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 | $0.00014 | $0.00067 |
| Opus 5 | $0.00007 | $0.00034 |
| Sonnet 5 | $0.00003 | $0.00013 |
| Haiku 4.5 | $0.00001 | $0.00007 |
Grade A, and why
context-compress:doctor 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 4d 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.
What it actually says
Run the context-compress doctor diagnostic:
mcp__context-compress__execute({
language: "shell",
code: "context-compress doctor"
})
Report the results as-is in markdown format.
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.
- 4d ago First seen · 16 lines · 14 tokens per session scan A 0d42f7d92bf1
context-compress:doctor is a skill published in the GitHub repository Open330/context-compress (2 stars, last pushed 7d ago), licensed MIT. It adds 14 tokens to every session and 67 once invoked, about $0.0001 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
scrim
Report what Scrim thinned from tool output and API-equivalent token mix. Use when the user runs /scrim, or asks about quota, context burn, or tool-output size.
hooks-eval
Evaluate hook security, performance, and SDK compliance. Use for audits.
tokf-discover
Find missed token savings by scanning AI coding session files for commands that ran without tokf filtering.
yesloop
Autonomous task loop — analyze, plan, execute, verify, review, finish. Runs as visible TUI agent in git worktree. Use when user says "yesloop", "loop", "run it autonomously".
security-review
Use when reviewing code for vulnerabilities, checking diffs for injection/XSS/auth/crypto issues. Invokes on code changes (.go/.py/.js/.ts/.java/.rs/.php/.rb), not docs-only diffs.
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session - dispatches visible YesMem swarm agents per task with two-stage review.