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 | $0.00022 | $0.00231 |
| Sonnet 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 10d 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.
- 10d 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 (2 stars, last pushed 2mo ago), licensed MIT. It adds 43 tokens to every session and 463 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
search-math-results
Find program-conditioned math results, constructions, examples, counterexamples, analogies, and background references. Use when the current active program needs repair, mutation, analogy, a program shift, or carefully gated obstruction search.
check-referenced-statements
Validate externally referenced theorems by querying arXiv theorem search first and Codex's built-in web search second. Use when a markdown proof cites statements from external papers.
verify-sequential-statements
Verify a markdown proof in the order it is written. Use when the task is to check local correctness, theorem applicability, and reasoning gaps statement by statement through a paper-style proof.
construct-counterexamples
Construct candidate counterexamples to test a proposed conjecture, lemma, or intermediate claim by keeping the assumptions true while making the claimed conclusion fail. Use when a proposed conjecture/claim feels fragile or unproved, or when you are stuck in reasoning and want to see where the assumptions take effect…
construct-toy-examples
Generate and analyze simpler examples that satisfy both the assumptions and the conclusion of a theorem statement or subgoal. Use when you are stuck in reasoning and need simpler examples to regain traction, or when you want to see where the assumptions take effect and gain intuition.
obtain-immediate-conclusions
Derive immediate mathematical consequences from a theorem statement or subgoal. Use when starting a new problem, branch, or subgoal, or when cheap progress or a cleaner reformulation is needed before deeper proof search.