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 tlaplus/AgentSkills --skill tlaplus-add-variablegit clone --depth 1 https://github.com/tlaplus/AgentSkillsWrote 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/tlaplus/agentskills/tlaplus-add-variable)<a href="https://agentmods.dev/skills/tlaplus/agentskills/tlaplus-add-variable"><img src="https://agentmods.dev/badge/skills/tlaplus/agentskills/tlaplus-add-variable/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/tlaplus/agentskills/tlaplus-add-variable"><img src="https://agentmods.dev/badge/skills/tlaplus/agentskills/tlaplus-add-variable.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00069 | $0.01111 |
| Opus 5.5 | $0.00028 | $0.00444 |
| Sonnet 5.5 | $0.00014 | $0.00222 |
| Haiku 4.5 | $0.00007 | $0.00111 |
Grade A, and why
tlaplus-add-variable 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 1mo 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Add Variable to TLA+ Specification
Add a new variable to a TLA+ specification while preserving semantics. The new variable must appear in all necessary locations so the specification remains valid and its behavior is unchanged.
Required Locations for New Variables
When adding a variable newVar to a TLA+ specification, update these locations:
- VARIABLE declaration block - Add the variable name
- Init - Initialize the variable
- All UNCHANGED statements - Add variable to every UNCHANGED that doesn't modify it
- vars tuple - Add to the tuple used in temporal formulas (if exists)
- TypeOk (optional) - Add type constraint if TypeOk invariant exists
Workflow
Step 1: Analyze the Specification
Read the TLA+ file and identify:
- All existing variables in the VARIABLE block
- The Init predicate
- All actions and their UNCHANGED statements
- The
varstuple or similardefinition (usually near Next or Spec) - TypeOk invariant if present
Step 2: Add Variable Declaration
Add the new variable to the VARIABLE block. Preserve formatting:
VARIABLE
existingVar1,
existingVar2,
newVar \* Add with comment explaining purpose
Step 3: Initialize in Init
Add initialization. Match the style of existing initializations:
Init ==
/\ existingVar1 = ...
/\ existingVar2 = ...
/\ newVar = <initial_value>
Step 4: Update All UNCHANGED Statements
Critical step. Find every UNCHANGED statement and add the new variable:
\* Before:
UNCHANGED << existingVar1, existingVar2 >>
\* After:
UNCHANGED << existingVar1, existingVar2, newVar >>
Search patterns to find UNCHANGED statements:
UNCHANGED <<- tuple formUNCHANGEDfollowed by variable name - single variable form
For single-variable UNCHANGED, convert to tuple form:
\* Before:
UNCHANGED existingVar
\* After:
UNCHANGED << existingVar, newVar >>
Step 5: Update vars Tuple
If a vars tuple exists, add the new variable:
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.
- 1mo ago First seen · 189 lines · 69 tokens per session scan A 7c07a610d6f9
tlaplus-add-variable is a skill published in the GitHub repository tlaplus/AgentSkills (42 stars, last pushed 8mo ago), licensed MIT. It adds 69 tokens to every session and 1,111 once invoked, about $0.0003 per session on Opus 5.5. 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
instrument-data-to-allotrope
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…
matlab
Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.
exploratory-data-analysis
Performs bounded, local exploratory analysis of explicitly supported scientific files. Supports redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…
phylogenetics
Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein…
research-engineer
An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.
presenting-conference-talks
Generates conference presentation slides (Beamer LaTeX PDF and editable PPTX) from a compiled paper with speaker notes and talk script. Use when preparing oral talks, spotlight presentations, or invited talks for ML and systems conferences.