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.
git clone --depth 1 https://github.com/chrono-meta/forge-harnessWrote 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/plugins/chrono-meta/forge-harness/fh-preprep)<a href="https://agentmods.dev/plugins/chrono-meta/forge-harness/fh-preprep"><img src="https://agentmods.dev/badge/plugins/chrono-meta/forge-harness/fh-preprep/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/plugins/chrono-meta/forge-harness/fh-preprep"><img src="https://agentmods.dev/badge/plugins/chrono-meta/forge-harness/fh-preprep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
fh-preprep 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 yesterday.
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
{
"name": "fh-preprep",
"version": "3.26.2",
"engines": {
"claudeCode": ">=1.0.0"
},
"description": "preprep — a presentation-preparation harness. 1 skill. One CLI over 17 lanes (7 built-in + 10 module) that reads a declared surface manifest and checks a talk's assets against each other: canonical-term ledger, jargon glosses, retired vocabulary, inter-slide dependencies, pacing, get/put round-trips, adjacent duplication, slide relations, geometry, attribute consistency, fonts, diagrams, slide refs, and screen-parity between manuscript and deck. Verdict contract: exit 0 pass / 1 findings / 2 cannot-judge — a surface that could not be read is UNMEASURED, never 0. Every lane ships a known-pair fixture. A separate advisory lane (lane_speech_coach.py) listens to a rehearsal recording and returns a six-item coaching table — pauses, conjunction drag, sentence-final pitch, opening/closing loudness, pronunciation candidates; ffmpeg required, whisper-cli optional, everything stays local.",
"author": {
"name": "chrono-meta",
"email": "[email protected]"
},
"keywords": [
"presentation",
"deck-review",
"ooxml",
"pptx",
"terminology",
"screen-parity",
"known-pair",
"verdict-contract"
]
}
What it installs
The manifest is a name and a version. 1 skill travel with it, and installing the plugin installs all of them — 266 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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.
- yesterday Changed 4fc04701a6b1
- 2d ago Changed c1976ca56604
- 3d ago Changed b17baf1d62db
- 6d ago Changed 6177a07ee902
- 8d ago Changed ab7cb2ef55af
- 15d ago Changed 9d214b908cd5
- 16d ago Changed 07ee227867ae
- 17d ago Changed 6bf3b9a9aca9
- 18d ago Changed d3286a96c01f
- 19d ago First seen · 23 lines scan A 2febe9d2d582
fh-preprep is a plugin published in the GitHub repository chrono-meta/forge-harness (28 stars, last pushed today), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-09-14.
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