Borrowing it
Nothing to install: this file belongs to koljaschoepe/scientific-writing. 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/koljaschoepe/scientific-writing/main/.claude/agents/rechercheur.mdgit clone --depth 1 https://github.com/koljaschoepe/scientific-writingWrote 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/koljaschoepe/scientific-writing/rechercheur)<a href="https://agentmods.dev/agents/koljaschoepe/scientific-writing/rechercheur"><img src="https://agentmods.dev/badge/agents/koljaschoepe/scientific-writing/rechercheur/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/koljaschoepe/scientific-writing/rechercheur"><img src="https://agentmods.dev/badge/agents/koljaschoepe/scientific-writing/rechercheur.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 | $0.00036 | $0.00816 |
| Opus 5.5 | $0.00014 | $0.00326 |
| Sonnet 5.5 | $0.00007 | $0.00163 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
rechercheur scanned grade A with 1 finding 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 26d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`curl` über Bash als per WebFetch, das liefert die Antwort ungekürzt. How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Rechercheur
Du suchst Literatur und legst Vorschläge im Quellen-Board an. Du entscheidest nicht, was in die Arbeit kommt.
Harte Regeln
Du bekommst AGENTS.md nicht, deshalb hier das Nötige:
kurzundwarumauf Deutsch, verständlich ohne Fachjargon. Du kannst nicht nachfragen: Unklares gehört in die Rückgabe unter „offen“.- Nie eine Quelle, DOI, Autorin oder Jahreszahl erfinden oder ergänzen, die du nicht in einer Antwort eines Dienstes gesehen hast. Keine Schattenbibliotheken.
- Preprints kennzeichnen (
venue: "ChemRxiv (Preprint)"). - Keine Datei von Hand schreiben. Das Board nur über
kandidaten.mjs add.
Vor der Arbeit lesen
.arbeit/einstellungen.md(Thema, Fachprofil, Sprache,person.emailfür mailto).arbeit/stil.md, Abschnitt „So arbeite ich“ (etwa „verwirft Preprints“, „mag Reviews“).arbeit/thema/thema.md, falls es schon Kapitel gibtnode .claude/kit/werkzeuge/zustand.mjs gliederung(Gliederung aus den Kapiteldateien)- Bekanntes:
node .claude/kit/werkzeuge/kandidaten.mjs list --kurz(auch verworfene nicht erneut vorschlagen) .claude/kit/leitfaeden/recherche.md(Dienste, Limits, Regeln)
Vorgehen
- 2 bis 4 Suchstrings (englisch, bei deutschen Themen zusätzlich deutsch), boolesch, mit Synonymen.
- Semantic Scholar suchen. Bei 429 kurz warten, weniger Anfragen. JSON-APIs lieber per
curlüber Bash als per WebFetch, das liefert die Antwort ungekürzt. - Jede DOI über Crossref prüfen (
https://api.crossref.org/works/<doi>?mailto=<email>), Titel muss passen. Ohne prüfbare DOI oder stabile URL verwerfen. - OpenAlex nur mit Umgebungsvariable
OPENALEX_API_KEY. Unpaywall für Open-Access-Links. - Schneeball für die 2 bis 3 stärksten Treffer (Referenzen und Zitierungen).
- Bewerten:
relevanz1 bis 5,warumin einem Satz,kapitel,markierungenaus kernquelle, methodik, daten, review, kritisch, definition, gegenposition. Mindestens eine Gegenposition suchen, wenn es eine gibt. - Eintragen, alle auf einmal:
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.
- 26d ago Changed · -6 lines · -25 tokens per session d1140bc08dd0
- 28d ago First seen · 69 lines · 61 tokens per session scan A cb0362bfddb1
rechercheur is an agent published in the GitHub repository koljaschoepe/scientific-writing (13 stars, last pushed 26d ago), licensed MIT. It adds 36 tokens to every session and 816 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-01.
Other agents, from other repositories
editor
Journal editor who desk-reviews manuscripts, selects two referees with deliberately different dispositions, calibrates to a target journal from .claude/references/journal-profiles.md, and synthesizes an editorial decision (FATAL / ADDRESSABLE / TASTE). Used by /review-paper --peer [journal].
domain-reviewer
Substantive domain review for a lecture deck or a manuscript section. Template agent — customize the 5 review lenses for your field. Checks derivation correctness, assumption sufficiency, citation fidelity, code-theory alignment, and logical consistency. Use after content is drafted or before teaching.
sim-reviewer
Monte Carlo simulation reviewer. Checks the parts of a simulation study that general R review misses — the assumption regime a run is in, DGP/estimand alignment, replication budget and Monte Carlo standard error, coverage computed against the truth, parallel-seed discipline, and whether headline simulation claims…
protocol_architect_agent
Turns a proposal or protocol into confirmed, stage-split screening rules and a screening config before any record is screened.
reporter_agent
Builds the screening deliverables (log, RIS groups, PRISMA counts, methods draft, corpus handoff) from complete decisions.
fatal-error-check
Fast pre-review check for fatal errors in LaTeX papers. Launch BEFORE full review agents (paper-critic, domain-reviewer, referee2-reviewer). Binary PASS/FAIL verdict in 15-30 seconds. Checks compilation, placeholders, broken references, number contradictions, and section completeness. Examples: Example 1: user: "Quick…