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 FerroxLabs/ijfw --skill ijfw-compressgit clone --depth 1 https://github.com/FerroxLabs/ijfwWrote 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/ferroxlabs/ijfw/ijfw-compress)<a href="https://agentmods.dev/skills/ferroxlabs/ijfw/ijfw-compress"><img src="https://agentmods.dev/badge/skills/ferroxlabs/ijfw/ijfw-compress/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/ferroxlabs/ijfw/ijfw-compress"><img src="https://agentmods.dev/badge/skills/ferroxlabs/ijfw/ijfw-compress.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 | $0.00020 | $0.00297 |
| Opus 5 | $0.00010 | $0.00148 |
| Sonnet 5 | $0.00004 | $0.00059 |
| Haiku 4.5 | $0.00002 | $0.00030 |
Grade A, and why
ijfw-compress 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
Compress the target file. Preserve all meaning. Reduce tokens.
Rules:
- Drop: articles (a/an/the), filler (just/really/basically), hedging, pleasantries.
- Fragments OK. Short synonyms (big not extensive, fix not implement a solution).
- Arrows for causality (X → Y).
- Abbreviate common terms (DB/auth/config/req/res/fn/impl/env/deps).
- Preserve EXACTLY: code blocks, URLs, file paths, commands, headings, dates, versions, technical terms.
- Only compress prose. Never touch code.
Process:
- Back up: cp .original.md
- Compress prose sections.
- Validate: all headings preserved, all code blocks intact, all URLs unchanged.
- Report savings as measured per-artifact: "Compressed: -> tokens (% saved on this artifact)". Report the MEASURED number from wc -w / token-count on the actual files. Do NOT claim a fixed percentage — savings vary widely by input shape (verbose handoffs compress further than dense memory files). v1.5.0 audit removed the legacy hardcoded "50% / 40-50%" framing from this skill in favor of measured-per-receipt reporting.
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 · 21 lines · 20 tokens per session scan A 444c9a258ad3
ijfw-compress is a skill published in the GitHub repository FerroxLabs/ijfw (210 stars, last pushed 2d ago), licensed MIT. It adds 20 tokens to every session and 297 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 2026-09-05.
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