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.
npx agentmods add skills/matthewdigiuseppe/mstack/referee-mocknpx skills add matthewdigiuseppe/MStack --skill referee-mockgit clone --depth 1 https://github.com/matthewdigiuseppe/MStackWrote 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/matthewdigiuseppe/mstack/referee-mock)<a href="https://agentmods.dev/skills/matthewdigiuseppe/mstack/referee-mock"><img src="https://agentmods.dev/badge/skills/matthewdigiuseppe/mstack/referee-mock.svg" alt="Measured on agentmods" 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 | $0.00062 | $0.00991 |
| Opus 5 | $0.00031 | $0.00495 |
| Sonnet 5 | $0.00012 | $0.00198 |
| Haiku 4.5 | $0.00006 | $0.00099 |
Grade A, and why
referee-mock 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/mstack:referee-mock
Stage: write (pre-submission)
Voice: referee (anchored to journal-reviewer-style)
When to invoke
When all sections of the manuscript exist in paper/sections/ and the draft is "submission-ready." This skill is your last line of defense before reviewers see it.
Argument
$ARGUMENTS (optional) — referee persona. One of:
methodologist(default) — prosecutes identification and inference.theorist— prosecutes theoretical novelty and engagement with the literature.area-expert— prosecutes empirical/contextual claims.editor— prosecutes fit, contribution-per-page, and clarity.
If unrecognized, default to methodologist.
Procedure
-
Load the manuscript.
- Read
paper/main.tex(ormain.qmd) and every file underpaper/sections/. - Read
output/tables/andoutput/figures/to verify claims in the prose. - Read
.mstack/config.yamlto know the target journal — referees calibrate to journal expectations.
- Read
-
Load prior referee snapshots in
.mstack/referee-cache/. If the same persona produced a report on an earlier draft, the new report should explicitly note what improved and what didn't. -
Invoke the reviewer-style skill.
- Read
voice.reviewer_stylefrom.mstack/config.yaml; if it names a skill the user has installed, use it for voice, tone, and structural conventions. - Otherwise follow
${CLAUDE_PLUGIN_ROOT}/references/referee-report-conventions.md— the built-in structure and tone for an IPE / political science referee report.
- Read
-
Write the report with the persona's bias dialed in:
Persona Where to press hardest methodologistIdentification, SE clustering, robustness, multiple comparisons, sample restrictions, attrition theoristTheoretical contribution, mechanism vs. correlation, engagement with canonical 3–5 papers, scope conditions area-expertEmpirical/case knowledge, measurement validity, omitted contextual factors, source reliability editorContribution-per-page, fit with target journal, clarity, headline-vs-evidence proportionality, length
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.
- 4d ago First seen · 78 lines · 62 tokens per session scan A 73cf1f6e666c
referee-mock is a skill published in the GitHub repository matthewdigiuseppe/MStack (14 stars, last pushed 7d ago), licensed MIT. It adds 62 tokens to every session and 991 once invoked, about $0.0003 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 2026-08-30.
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