Borrowing it
Nothing to install: this file belongs to FilippoScaramuzza/agentic-reviewer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/FilippoScaramuzza/agentic-reviewer/main/.cursor/skills/explore-reputation/SKILL.mdgit clone --depth 1 https://github.com/FilippoScaramuzza/agentic-reviewerWrote 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/filipposcaramuzza/agentic-reviewer/explore-reputation)<a href="https://agentmods.dev/skills/filipposcaramuzza/agentic-reviewer/explore-reputation"><img src="https://agentmods.dev/badge/skills/filipposcaramuzza/agentic-reviewer/explore-reputation/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/filipposcaramuzza/agentic-reviewer/explore-reputation"><img src="https://agentmods.dev/badge/skills/filipposcaramuzza/agentic-reviewer/explore-reputation.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 | $0.00043 | $0.00463 |
| Opus 5.5 | $0.00017 | $0.00185 |
| Sonnet 5.5 | $0.00009 | $0.00093 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
explore-reputation 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 2mo 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
Explore Reputation
Profile the reputation, impact, and standing of an academic journal or conference.
Search Strategy
- Search for
"<journal name> impact factor" - Search for
"<journal name> Scopus"or"<journal name> Web of Science" - Search for
"<journal name> acceptance rate" - Search for
"<journal name> predatory"or check Beall's list - Search for
"<journal name> editorial board" - Fetch the journal's official page for metrics
- Check SCImago (scimagojr.com) for ranking data
Information to Extract
Impact & Metrics
- Journal Impact Factor (JIF) — most recent year
- CiteScore, h-index
- SCImago quartile ranking (Q1–Q4)
- Eigenfactor or other influence metrics
Indexing Status
Check: Scopus, Web of Science (SCI/SSCI/AHCI), ESCI, PubMed/MEDLINE, Engineering Index/Compendex, other relevant databases.
Editorial Board
Editor-in-Chief (name, affiliation), key associate editors, geographic distribution.
Publisher
Publisher name and reputation, open access model, APC if applicable, self-archiving policies.
Acceptance & Review
Estimated acceptance rate, review model (single/double-blind/open), typical turnaround time.
Predatory Status
Is it on Beall's list? Red flags? Overall assessment: Safe / Caution / Avoid.
Field Standing
Journal perception in its domain, comparison to similar journals, notable recent papers.
Quality Checks
- Only cite verified metrics from official sources
- Note when information is estimated or from informal sources
- Be honest about predatory indicators — don't gloss over red flags
Output Location
Save to context/<journal-slug>/reputation-profile.md (cache)
AND <report-directory>/04-reputation-profile.md (session artifact)
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.
- 2mo ago First seen · 54 lines · 43 tokens per session scan A b5cb39089c88
explore-reputation is a skill published in the GitHub repository FilippoScaramuzza/agentic-reviewer (3 stars, last pushed 4mo ago), licensed MIT. It adds 43 tokens to every session and 463 once invoked, about $0.0002 per session on Opus 5.5. 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.
explore-reputation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| explore-reputationFilippoScaramuzza/agentic-reviewer | Skill | 3 | 4mo ago | MIT | A | 43 | Claude Code, Cursor |
| acdemic-drawingpoco-ai/Agentero | Skill | 1.1k | today | MIT | A | 30 | Claude Code, Codex |
| paper-verificationfcakyon/phd-skills | Skill | 438 | 26d ago | MIT | A | 67 | Claude Code |
| experiment-designfcakyon/phd-skills | Skill | 438 | 26d ago | MIT | A | 57 | Claude Code |
| paper-writingfcakyon/phd-skills | Skill | 438 | 26d ago | MIT | A | 63 | Claude Code |
| reproducefcakyon/phd-skills | Skill | 438 | 26d ago | MIT | A | 75 | Claude Code |
| personal-genomicssammcj/agentic-coding | Skill | 168 | 2d ago | Apache-2.0 | A | 56 | Claude Code |