delivery-contract
Skill0 starsChanged 3 months agoMITView on GitHub
The checks that decide whether a paper is finished. Use before declaring a paper done, delivering a draft, or reporting success. Replaces "the writing step returned" with evidence from the artifacts themselves.
In this repository14 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agent-cost-controlSkill
- citation-disciplineSkill
- env-isolationSkill
- experiment-disciplineSkill
- figure-integritySkill
- latex-compileSkill
- literature-surveySkill
- numbers-traceableSkill
- page-fittingSkill
- paper-machineSkill
- paper-structureSkill
- research-integritySkill
- reviewer-mindsetSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 39
Do not report success on any path that has not produced:
- Distinctive: line 45
If a run ends without these, it failed, whatever the log says.
- Distinctive: line 52
If an agent wrote it, the paper says so.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Delivery Contract
Why control flow is not evidence
An agent pipeline reports success when its last function returns. That says
nothing about whether a paper exists. Observed outcomes that all reported
"done": a 12 KB PDF containing a template skeleton, a paper whose every
citation rendered as ?, a full draft written with zero literature behind
it because the research step had failed silently an hour earlier.
The fix is to stop asking the code whether it finished and start asking the artifacts what they are.
Run these before saying done
Each check reads the delivered files. Hard means the paper does not ship. Soft means it ships with the problem stated out loud.
| Check | Severity | Passes when |
| PDF exists | hard | main.pdf is present and over ~50 KB. A smaller file is a template, not a paper. |
| PDF is readable | hard | A PDF parser can open it and extract text. |
| Citations resolved | hard | No ? markers in the rendered text. |
| References non-empty | hard | The text cites something and references.bib has entries. |
| AI disclosure present | hard | The paper states it was produced with AI assistance. |
| Figures referenced | soft | Every included figure has a \ref in the prose. |
| Figures not upscaled | soft | No bitmap displayed beyond its native resolution. |
| Page budget | soft | Body pages fit the venue limit. |
| Research grounded | soft | A real literature survey backs the related work. |
| Numbers traced | soft | Every numeric claim points at a result file. |
Evidence-based done
Do not report success on any path that has not produced:
- a PDF over 50 KB that a parser can open,
- zero unresolved citations,
- a non-empty bibliography.
If a run ends without these, it failed, whatever the log says. Say so, say why, and say what the user can do about it. A truthful failure is worth more than a confident lie, and a user who is told "the literature step failed, so this draft has no related work" can act on it.
Disclosure
If an agent wrote it, the paper says so. This is not optional and it is increasingly a submission requirement. One line in the acknowledgements is enough:
This paper was prepared with the assistance of an AI research agent.
Two things to get right. It must survive into the rendered PDF, not just the source, so check the extracted text. And it must not leak internal machinery, tool names, stack traces or file paths into an acknowledgements section a reviewer will read.
Report the outcome honestly
State what passed and what did not:
Delivery: 8 checks passed, 1 soft violation
page_budget: 10 pages against a 4-page budget (references span 5 pages)Then let the user decide. Hiding a soft violation to make the summary look clean is the same instinct that produces invented numbers, just wearing better clothes.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

