TS Paper Cite Agent Skill

Stage 2 of the ts-paper suite: build a complete, real refs.bib where every entry has full metadata (authors, year, venue, pages, DOI) and…

Context cost
3.5k tokensestimated from the bundle, loaded when it triggers
Bundle
3 files · 31.9 kB2 scripts among them — read before you run
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Stage 2 of the ts-paper suite. Build a complete, REAL refs.bib for a Traitement du Signal paper — using the user's provided references first and Claude's native WebSearch/WebFetch only for genuine gaps. Every entry must have full metadata (authors, year, venue, vol(issue):pages, DOI); never a title-only stub; reference count is driven by real evidence, not a quota. Use when assembling or fixing the bibliography of a TS paper, or whenever citations must be real and complete.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

bibtexcitationspaperreferences
Filed under

Research

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md13.9 kB · preview
--- name: ts-paper-cite ---
11# ts-paper-cite — real, complete citations (no fabrication)
12
13Citations support real claims with real evidence. **Every entry in refs.bib is a paper that
14actually exists and that you verified.** This stage replaces the original 100+-call retrieve→triage→
15slot→bind→postdraft engine (which fabricated title-only stubs to hit hardcoded quotas) with a few
16Claude reasoning passes + native web search.
17
18## Procedure — broad systematic retrieval, then triage (adopt the original engine's *coverage*, keep integrity)
19A TS journal paper is expected to be **well-read**: it situates itself in a full literature, not a minimal one. Do NOT stop at "just enough" — search **broadly and systematically**, then keep only the real, well-matched papers. This is the original product's strength (systematic query planning → retrieve many → triage), minus its fabrication.
20
210. **Reuse the idea2story seed first (if present).** If retrieved_papers.json exists in the workdir (written by **ts-idea2story**, which already searched the literature), ingest it as a **verified seed**: for each paper run scripts/doi2bib.py <doi> to upgrade it to complete BibTeX (the DOI must resolve, or drop it — Crossref is authoritative over the seed's own metadata), and use its abstract+supports_claim to place it into claims_map.json. This is NOT a free pass — it removes the cold-start sweep, but you still verify each, place by abstract, and gap-fill below. Then the angles you must still search are the ones the seed does NOT cover.
221. **Plan the search angles (query packs).** From the proposal + blueprint (and what the seed already covers), enumerate the angles a thorough reviewer expects covered, and write them to **retrieval_plan.md**:
23 - the **core task** and its canonical benchmark/problem papers;
24 - **each method component / technique** the paper builds on (every named module, predictor, feature, loss);
25 - **every dataset and every metric** named in the experiment design;
26 - **every baseline** named;
27 - the **adjacent lineages** a reviewer would expect (neighbouring tasks, the families your method departs from);
28 - recent **surveys / foundational** works of the area.
292. **Retrieve broadly.** Run a WebSearch/WebFetch per angle (this is many searches, not "a handful" — breadth is the point). Collect candidate papers per angle. Prefer authoritative venues; capture the DOI/arXiv id as you go.
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md1,949 words
Files3
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈130
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
3,345
on trigger
The instruction body and 2 supporting files, read only when the skill fires.
1.7%
of a 200k window
Ten skills this size would take about 17% of the window before you open a file.
050k100k150k200k context window

3.5k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Middling. Fine to keep on in a project where you use it weekly, worth unloading in one where you never do.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

3 files, 31.9 kB on disk. Mostly text — the instructions the model reads — with 2 scripts in it that your client would run only if the instructions tell it to.

  • SKILL.md13.9 kB
  • scripts/citations_lint.py11.9 kB
  • scripts/doi2bib.py6.1 kB
What is not in it

A skill installs nothing and depends on nothing: it is a folder your client reads. This one carries 2 scripts beside the text, so the bundle is 3 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# TS Paper Cite · 3.5k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/ts-paper-cite/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/ts-paper-cite" ] && { [ ! -e .claude/skills/ts-paper-cite ] || { mv .claude/skills/ts-paper-cite "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/ts-paper-cite" .claude/skills/ && echo "Installed .claude/skills/ts-paper-cite"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add spark-to-paper-skills/ts-paper-cite

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/ts-paper-cite/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/ts-paper-cite/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/ts-paper-cite" ] && { [ ! -e ~/.claude/skills/ts-paper-cite ] || { mv ~/.claude/skills/ts-paper-cite "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/ts-paper-cite" ~/.claude/skills/ && echo "Installed ~/.claude/skills/ts-paper-cite" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/ts-paper-cite/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencespark-to-paper-skills/ts-paper-cite

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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Anybody with an account, one review each. It carries the version that was current when you wrote it, and the publisher may reply once.

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