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/tinygodsdev/bitext-word-alignment/word-aligner-skillnpx skills add tinygodsdev/bitext-word-alignment --skill word-aligner-skillgit clone --depth 1 https://github.com/tinygodsdev/bitext-word-alignmentWhat 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 | $0.00102 | $0.01854 |
| Opus 5 | $0.00051 | $0.00927 |
| Sonnet 5 | $0.00020 | $0.00371 |
| Haiku 4.5 | $0.00010 | $0.00185 |
Grade A, and why
word-aligner 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 2d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Word Aligner
Word Aligner generates shareable interactive diagrams showing which words in one text correspond to which words in another. Words are connected by colored arcs; tokens sharing a connection group (many-to-one or one-to-many) get the same color automatically.
API endpoint: POST https://aligner.tinygods.dev/api/align
Returns: { "url": "https://aligner.tinygods.dev/?data=..." } — give this URL to the user.
Minimal request
{
"lines": ["I sleep", "Я сплю"],
"alignments": [[0, 0, 1, 0], [0, 1, 1, 1]]
}
alignments entries are [lineA, wordA, lineB, wordB]: word wordA of line lineA links to word wordB of line lineB. All indices are 0-based, and the two lines must be vertically adjacent (|lineA − lineB| = 1).
Workflow
- Translate the phrase yourself (or use the user's existing translation).
- Identify which source words correspond to which target words.
- Call the API.
- Return the
urlto the user with a brief explanation.
Word index counting (read carefully — this is the #1 source of mistakes)
Word indices are token positions, so you must tokenize a line exactly the way the service does before assigning indices:
- Whitespace always splits.
"I have been going"→I[0]have[1]been[2]going[3]. - The
tokenSplitCharscharacters also split, and are then removed from the output. The default set is.-|. So"go.PST.IPFV"becomes three separate tokensgoPSTIPFVand the dots disappear from the rendered diagram. This is usually not what you want for Leipzig glosses — see the gloss pattern below, which setstokenSplitCharsto"-|"to keep the dots. - Punctuation stays attached by default.
"Hello, world!"→Hello,[0]world![1] (the comma and exclamation mark are part of the tokens, not separate). - The merge char
+joins parts into one token rendered with a space:"is+playing"is a single token (index counts as one word) that displays asis playing. - RTL lines: word 0 is the logically first word (the rightmost one on screen for Hebrew/Arabic). Index in reading order, not visual order.
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.
- 2d ago First seen · 127 lines · 102 tokens per session scan A df3805644b01
word-aligner is a skill published in the GitHub repository tinygodsdev/bitext-word-alignment (5 stars, last pushed 11d ago), licensed MIT. It adds 102 tokens to every session and 1,854 once invoked, about $0.0005 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 2026-08-31.
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