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 skills add Mexregkan/claude-for-researchers --skill wolfram-headlessgit clone --depth 1 https://github.com/Mexregkan/claude-for-researchersWrote 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/mexregkan/claude-for-researchers/wolfram-headless)<a href="https://agentmods.dev/skills/mexregkan/claude-for-researchers/wolfram-headless"><img src="https://agentmods.dev/badge/skills/mexregkan/claude-for-researchers/wolfram-headless/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/skills/mexregkan/claude-for-researchers/wolfram-headless"><img src="https://agentmods.dev/badge/skills/mexregkan/claude-for-researchers/wolfram-headless.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 87 Skill instructs the agent to omit warnings, disclaimers, or ethical commentary. Stripping safety caveats hides risk from the user and is a common jailbreak preamble.Fix: Remove instructions that suppress warnings, disclaimers, or ethical commentary. Let the agent surface safety-relevant caveats to the user.
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 | $0.00084 | $0.02084 |
| Opus 5 | $0.00042 | $0.01042 |
| Sonnet 5 | $0.00017 | $0.00417 |
| Haiku 4.5 | $0.00008 | $0.00208 |
Grade A, and why
wolfram-headless 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 12d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wolfram-headless — reliable headless Wolfram in Claude Code
Hard-won rules for running wolframscript from Claude Code's Bash tool. Two findings dominate:
(1) "The product exited because of a license error" is almost never a license problem — it is a
kernel crash (usually a memory spike) mis-reported; and (2) literal Greek Unicode in .wls
files silently corrupts symbols under wolframscript. Both cost real time; this skill encodes the fix.
RULE 1 — ASCII escapes in .wls, NEVER literal Greek (silent-corruption bug)
wolframscript reads .wls files under a non-UTF-8 encoding, so a literal ω (U+03C9) becomes a
different, dead symbol (mojibake ω), with no error. ω3 =!= \[Omega]3; any ===/pattern
test against the real symbol silently fails and results are wrong. Verified: a function keyed on the
real \[Omega]3 falls through / returns garbage when fed the literal-ω symbol.
- In every
.wls, write\[Omega] \[Alpha] \[CapitalLambda] \[CapitalDelta] \[Pi] \[Epsilon] \[Tau] \[Mu] \[Xi], never the literal characters.Pi,I,Infinity, and ASCII names (Delta,Esq,tau) are fine. - The notebook/desktop kernel (Mathematica FE / Wolfbook in VS Code) handles literal Greek fine — this
is headless-
.wls-only. So copying notebook code into a.wlsintroduces the bug. - Quick converter (run before any heavy job): replace the Greek chars with their
\[...]escapes. A one-liner is inscripts/greek2esc.pynext to this skill. - Audit a file:
LC_ALL=C grep -nP '[^\x00-\x7F]' file.wls— anything in CODE (not comments) is a hazard.
RULE 2 — "license error" is a mis-reported crash; diagnose, don't believe it
When a heavy wolframscript job prints The product exited because of a license error:
- Confirm the license is fine (it almost always is):
wolframscript -code 'Print[{$LicenseType,DateString[$LicenseExpirationDate],$MaxLicenseProcesses}]'A valid, unexpired license +$MaxLicenseProcesses=Infinitymeans this is NOT a license issue. - It is a crash — the kernel hit a resource wall (almost always a memory spike from a huge
symbolic intermediate) and wolframscript reports any abnormal kernel exit as a "license error."
Ruled out in practice as causes: the Bash sandbox (disabling it does NOT help),
ulimit(address space is unlimited), encoding, wall-clock time, and the license itself. - Localize it. Instrument the computation statement-by-statement with memory markers; the last
marker before the exit is the culprit. Template:
mb := ToString[Round[MemoryInUse[]/1024^2]]<>"MB"; Print["[stmt] ", expr, " mem=", mb, " t=", Round[AbsoluteTime[]]]; (* before each heavy line *) - Fix the spike (in order of preference):
- Shrink the symbolic input first. The usual cause is keeping too many symbolic unknowns. If lower-stage results are already solved, substitute them in before the heavy step so the expression collapses (e.g. a product of two length-N symbolic lists is N²; substituting known values can drop N by orders of magnitude). This is the single highest-leverage fix.
- Chunk huge products / Expands so the full intermediate is never materialized
(
Total[Table[Total[op[{a[[i]]}, b]], {i, Length[a]}]]instead ofTotal[op[a, b]]) — but note an N² operation is still N² operations, so this only helps memory, not time. - Run hygiene: put
$HistoryLength = 0;at the top (stopsOut[]retaining giant results);ClearSystemCache[]/Share[]between heavy steps. - Last resort: run it in the desktop / Wolfbook kernel (Mathematica FE), which has more headroom
and different limits, then
DumpSavethe result for headless reuse. If the same code builds in the FE kernel but not headless, the headless wall is the cause — don't keep fighting wolframscript.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 110 lines · 84 tokens per session scan A e9fbce2e6fc9
wolfram-headless is a skill published in the GitHub repository Mexregkan/claude-for-researchers (52 stars, last pushed 8d ago), licensed MIT. It adds 84 tokens to every session and 2,084 once invoked, about $0.0004 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.
Other skills, from other repositories
pre-submission-report
Run the final, comprehensive submission-readiness gate and consolidate all checks into one dated report; citation-integrity-only mode is also supported. Use when a paper and submission package are nearly final. Not for a mid-draft adversarial review; use $review-cluster.
proof-readability
Improve the exposition and readability of a mathematical proof already verified as correct without changing its mathematics. Use when polishing a lemma, theorem, proof, or appendix after correctness checks. Not for verifying the proof; use $verify-math.
latex
Compile one specified LaTeX document, resolve build errors, audit citations, and report build quality. Use when a .tex source must be built or a concrete compilation failure repaired. Not for corpus-wide build checks, visual polish after a clean build, or creating a project; use $latex-health-check, $latex-polish, or…
beamer-deck
Create an academic presentation as a LaTeX Beamer source and reviewed PDF with an original theme. Use when the requested deliverable is a conference, seminar, or lecture deck in Beamer. Not for PowerPoint or RevealJS; use $pptx or $quarto-deck.
bib-parse
Extract citations from a PDF and generate a validated .bib file. Use when the user asks to extract citations from a PDF and generate a validated .bib file. Reads the PDF, identifies referenced works, constructs BibTeX entries, and verifies metadata.
computational-experiments
Scaffold, execute, analyse, and publish computational research experiments through a reproducible staged workflow. Use when a research question requires simulations or computational sweeps rather than a one-off script.