Journal Fit
Assess a manuscript's fit to a target journal/venue — scope, novelty bar, length & structure limits, reference style (ACS/IEEE/APA/Nature), audience, article types — and output a fit score with.
Core Rule
Fit is a judgment from known conventions, not a fabricated metric. Never invent a journal's specific numbers — do not assert an impact factor, an acceptance rate, an exact word limit, or a precise display-item cap you cannot source. Reason from what is stated (in MANUSCRIPT_MAP.md), what is broadly known about the venue class (ACS / IEEE / APA / Nature-family conventions), and tell the author to confirm the exact figures against the journal's current author guidelines. A confidently-wrong "6000 word limit" is the same failure mode as a fabricated citation: a specific claim with nothing behind it.
This skill assesses fit and produces a gap list — it does not reshape the manuscript. Restructuring to fit is downstream work (/outline).
When to Use
Invoke with /journal-fit when:
- Choosing where to submit, or sanity-checking a target before the final push.
- A draft is near-complete and you want the structure/length/style gaps surfaced before formatting.
- A desk-reject risk is in play — fit-to-scope is the #1 desk-reject reason; catch it early.
- Comparing two candidate venues (run the skill twice, compare gap lists).
State the target: /journal-fit ACL. If no venue is given, read it from MANUSCRIPT_MAP.md → Target journal.
Process
Phase 1: Load the Manuscript's Self-Description
- Read
MANUSCRIPT_MAP.md— Thesis, Contribution, Audience, target venue, the Structure table (sections + budgets → current length), Figures & tables count, and the reference style noted there. - Estimate current length — sum the section budgets / use
texcounton the drafted.tex(deterministic — don't eyeball;CLAUDE.md → Model vs Code). Count display items againstMANUSCRIPT_MAP → Figures & tables. - Identify the article type the manuscript is — full research article, letter/communication, review, methods/protocol, perspective. Venues accept different types with different limits.
Phase 2: Establish the Venue's Known Conventions
Reason from the venue class, and be explicit about confidence:
- Reference style — the deterministic, knowable axis:
- ACL (NLP/ML): numbered, ISO-4 abbreviations, sentence-case titles;
\citep/\citetauthor–year in text via the venue style file. - IEEE (engineering/CS): numbered
[1]in brackets, abbreviated, specific field order. - APA (psych/social/education): author–date, full journal names, DOI required.
- Nature-family: superscript numbers, highly compressed, strict display-item limits. Mismatched style is a concrete, fixable gap — name the required style.
- ACL (NLP/ML): numbered, ISO-4 abbreviations, sentence-case titles;
- Scope & audience — is the topic in the journal's stated aims? Is the framing pitched at its readership (specialist vs broad)? This is the highest-weight, most-judgment axis.
- Novelty bar — broad-impact venues (Nature/Science family, top field journals) demand a larger contribution delta than solid specialist journals. Calibrate the manuscript's contribution (from
MANUSCRIPT_MAP) against the bar — qualitatively. Do not invent an acceptance rate to quantify it. - Length & structure — typical limits for the article type. State these as conventions to verify, not facts. "Top ML/NLP venues commonly run ~8 pages plus an unlimited appendix — confirm the exact cap in the current call for papers."
- Article types accepted — does the venue publish the type this manuscript is?
For anything you cannot source — exact word count, exact figure cap, impact factor, acceptance rate — say "confirm in author guidelines," never a fabricated number.
Phase 3: Score Each Axis
Rate fit per axis, with the reasoning that drives the score:
| Axis | What "good fit" looks like | Weight |
|---|---|---|
| Scope match | Topic squarely in the venue's aims; framing matches readership | High |
| Novelty bar | Contribution clears the venue's typical significance threshold | High |
| Audience | Background level + terminology pitched at this readership | Medium |
| Length | Within the type's typical limits (confirm exact) | Medium |
| Structure | Matches expected section format (IMRaD / structured abstract / merged R&D) | Medium |
| Reference style | Matches required style, or a known mechanical conversion away | Low (fixable) |
| Article type | The venue publishes this type | Gate |
Weight scope, novelty, and audience highest — they decide desk-reject. Reference style is low-weight because it is a deterministic conversion (biber/CSL), not a fundamental misfit.
Phase 4: Produce the Fit Verdict and Gap List
- Overall fit — Strong / Moderate / Weak, with one-paragraph reasoning that names the deciding axes. Not a fabricated percentage — a calibrated judgment.
- Gap list — what to change to fit, ordered by effort × impact: scope/framing gaps first (hardest, highest-stakes), mechanical gaps (style, length trim) last.
- Alternative venues — if fit is Weak, suggest venue classes that fit better (e.g. "a specialist methods journal rather than a broad-impact one"), without inventing their metrics.
Output Format
# Journal Fit — <manuscript> → ACL
> Source of venue conventions: known ACL/ML-venue conventions + MANUSCRIPT_MAP.
> CONFIRM all exact limits against the current ACL call for papers — figures below are conventions, not quoted policy.
## Overall fit: Moderate
The topic (a pre-execution verification gate for LLM-agent tool calls) sits
squarely in ACL's scope and the contribution is a genuine task-setting-extension
delta, so scope and novelty fit well. The main risks are length (currently ~9
pages against a commonly ~8-page norm — verify) and a reference style mismatch
(drafted APA; ACL uses a numbered style). Structure is standard IMRaD, which fits.
## Axis scores
| Axis | Fit | Reasoning |
|---|---|---|
| Scope | Strong | Verification gating for agent tool calls is in ACL aims |
| Novelty | Strong | First study of pre-execution gating for agent tool calls; clears a solid bar |
| Audience | Strong | NLP/agents readership; terminology matches |
| Length | Weak | ~9 pages; top venues commonly ~8 pages + appendix — CONFIRM and trim |
| Structure | Strong | IMRaD as expected |
| Reference style | Weak (fixable) | Drafted APA; numbered ACL style required — mechanical conversion |
| Article type | Pass | Full research paper — published at ACL |
## Gap list (ordered by effort × impact)
1. **[Length]** Trim ~1 page to reach the ~8-page norm (CONFIRM exact cap); move detail to the appendix. Target the Discussion. — high effort
2. **[Style]** Convert APA → ACL numbered style (ISO-4 abbreviations) via biber/CSL — do not retype. — low effort, deterministic
3. **[Display items]** 7 figures + 2 tables = 9; the body is crowded — CONFIRM the page budget, then move surplus to the appendix. — medium
4. **[Framing]** Abstract leads with method, not impact; ACL readers want the deployment significance (fewer hallucinated tool calls) up front. — low effort, high payoff
## Before you submit
- Pull the CURRENT ACL call for papers and replace every "CONFIRM" above with the quoted limit.
- Run /citation-audit after the style conversion.
- Consider /peer-review against the novelty bar.
## If fit were Weak
A specialist agents/tool-use workshop would impose a lower novelty bar and looser
length limits than a broad-impact main-conference track — consider that venue
class. (No metrics invented; confirm any specific venue's guidelines directly.)Pairs With
MANUSCRIPT_MAP.md— the source of the manuscript's scope, length, and current style; the fit check reads it first./outline— if structure/length gaps are large, re-outline to the venue's shape./citation-audit— run after a reference-style conversion to verify field completeness for the new style./peer-review— pair when the question includes "does the contribution clear the bar?" — the novelty-bar axis is exactly what a referee judges.
Common Rationalizations
| Rationalization | Reality |
|---|---|
| "The word limit is 6000" (unsourced) | If you cannot point to the author guidelines, that number is a fabrication. Say "confirm exact limit." |
| "High impact factor, worth a shot" | A fabricated or stale impact factor is not a fit argument. Fit is scope + novelty + audience, sourced from aims. |
| "Reference style is easy, ignore it for now" | Right that it's low-stakes (it's a CSL conversion) — but still list it so it isn't forgotten at submission. |
| "Close enough on scope" | Scope mismatch is the #1 desk-reject. "Close enough" gets bounced before review. Be honest about the gap. |
| "I'll just trim later" | A 30%-over manuscript needs structural cuts, not later polish. Surface the trim target now. |
Notes
- Fit assessment is judgment from conventions — run on the Reasoner model (
CLAUDE.md → Model Selection). - The single rule that matters: known conventions in, "confirm in author guidelines" for anything exact, zero invented metrics.
- A "Weak" verdict is a service — re-targeting before submission beats a desk-reject after.
Methods Review
Reproducibility check of the Method(s) section against agent_docs/reproducibility.md — enumerate what an independent team needs to rerun the work, check the section, and flag every missing ingredient.
Scorecard
Aggregate reports/session-audit.log (one JSON line per session, written by the SessionEnd hook) into a per-session table plus a windowed summary — citation-gate pass rate, which guardrail hooks.