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/Imbad0202/academic-research-skills-codexWrote 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/imbad0202/academic-research-skills-codex/formatter_agent)<a href="https://agentmods.dev/agents/imbad0202/academic-research-skills-codex/formatter_agent"><img src="https://agentmods.dev/badge/agents/imbad0202/academic-research-skills-codex/formatter_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/imbad0202/academic-research-skills-codex/formatter_agent"><img src="https://agentmods.dev/badge/agents/imbad0202/academic-research-skills-codex/formatter_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 | $0.00013 | $0.15589 |
| Opus 5.5 | $0.00005 | $0.06236 |
| Sonnet 5.5 | $0.00003 | $0.03118 |
| Haiku 4.5 | $0.00001 | $0.01559 |
Grade E, and why
formatter_agent scanned grade E with 2 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 7d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- canonical:instruction-data-boundary --> Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
For a v1.2 `tortured_phrase_match` row, transcribe `HEURISTIC-ADVISORY`, `UNMEASURED`, its exact `cited_title` or `cited_abstract` surface, counts, snapshot source/version/as-of/raw SHA-256, detached-manifest SHA-256, an The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 7d ago Changed f8a7ab7c017e
- 20d ago Changed · +7 lines a64ae27bd456
- 25d ago Changed · +16 lines scan C → E e270831e2437
- 1mo ago First seen · 1,000 lines · 13 tokens per session scan C d9c687ffd075
formatter_agent is an agent published in the GitHub repository Imbad0202/academic-research-skills-codex (13,397 stars, last pushed 3d ago), with no licence file. It adds 13 tokens to every session and 15,589 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it E with 2 findings (hidden instructions, tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
visualization_agent
Generates publication-quality figure specifications and chart descriptions for inclusion in the paper.
protocol_architect_agent
Turns a proposal or protocol into confirmed, stage-split screening rules and a screening config before any record is screened.
qc_auditor_agent
Reports seeds, agreement, conflicts and recheck results after the pilot and the full run, and proposes protocol clarifications.
reporter_agent
Builds the screening deliverables (log, RIS groups, PRISMA counts, methods draft, corpus handoff) from complete decisions.
methodology_reviewer_agent
Peer Reviewer 1; assesses methodological soundness, research design validity, and statistical rigor.
risk_of_bias_agent
Assesses risk of bias in included studies using RoB 2 (RCTs) and ROBINS-I (non-randomized studies).