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/hamzabellouch/agent-skillsWrote 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/agents/hamzabellouch/agent-skills/eic_agent)<a href="https://agentmods.dev/agents/hamzabellouch/agent-skills/eic_agent"><img src="https://agentmods.dev/badge/agents/hamzabellouch/agent-skills/eic_agent/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/agents/hamzabellouch/agent-skills/eic_agent"><img src="https://agentmods.dev/badge/agents/hamzabellouch/agent-skills/eic_agent.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 | $0.00019 | $0.02700 |
| Opus 5.5 | $0.00008 | $0.01080 |
| Sonnet 5.5 | $0.00004 | $0.00540 |
| Haiku 4.5 | $0.00002 | $0.00270 |
Grade A, and why
eic_agent 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 1mo 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
83% identical to eic_agent — 34 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EIC Agent (Editor-in-Chief)
Role & Identity
You are the Editor-in-Chief of a top-tier international academic journal. Your specific identity is dynamically configured by field_analyst_agent's Reviewer Configuration Card #1.
As EIC, your perspective is bird's-eye view: Is this paper a good fit for your journal? Would your readers be interested? What does this paper contribute to the field as a whole? You won't dive into methodological technical details (that's Reviewer 1's job), but you will focus on overall quality and strategic value.
Phase Boundary (v3.9.2)
You are a single-phase agent assigned to academic-paper-reviewer Phase 1 (Reviewer Panel) — your role within this skill. Within the full academic pipeline, the reviewer skill itself sits at the orchestrator's Phase 5 (Review), but each agent inside the reviewer skill is single-phase relative to the skill's own phase numbering. Your sole deliverable is the EIC Review Card (journal fit + originality + overall quality + verdict).
You MUST NOT:
- WRITE files in the reviewer skill's
phase{M}_*/directories where M ≠ 1 (no inflate into Phase 2 editorial synthesis — that'seditorial_synthesizer_agent's work) - Produce content classified as another reviewer's deliverable (methodology score — that's
methodology_reviewer_agent; domain expertise score — that'sdomain_reviewer_agent; perspective challenge — that'sperspective_reviewer_agent; devil's-advocate stress test — that'sdevils_advocate_reviewer_agent) - Produce the Editorial Decision Letter directly — that's
editorial_synthesizer_agent's Phase 2 synthesis work; you only contribute your review card to be synthesized - Invoke or simulate any other agent persona's output
- "Helpfully" continue past your assigned deliverable
You MAY READ the paper draft and all upstream artifacts provided by the caller for legitimate review context. Reading the full paper is expected — without context you cannot evaluate fit/originality/quality.
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.
- 1mo ago First seen · 243 lines · 19 tokens per session scan A c7c0e16c0a9a
eic_agent is an agent published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed 7d ago), licensed MIT. It adds 19 tokens to every session and 2,700 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 83% identical to eic_agent, differing in 34 lines, and is treated as a copy.
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