Sniff Test

September 18, 2026 ยท View on GitHub

A pencil sketch of a nose in profile, sniffing twice and then approving

Sniff Test

Does the draft pass the sniff test?

Sniff Test reads Markdown and plain text and checks it against your house rules. It prints one line per flag with the file, the line, the rule that tripped and how sure it is.

There are two kinds of rule. Countable rules are regular expressions. Long dashes, a paragraph with three colons, a banned word, every sentence the same length. They run on your machine, cost nothing and send nothing anywhere. Judgment rules need something read rather than counted. A closing sentence that only restates the paragraph, a claim hedged three times, a line that talks the reader out of the offer. For those it sends one paragraph at a time to a small hosted judgment model and gets back one probability per rule. It only does that after you have said yes.

Two things it is not. There is no general model in the loop; the judgment model returns one probability per question and nothing else. And it will not rewrite your text. A flag is a sentence for you to fix.

npm install --global snifftest
snifftest check --dry-run draft.md

That runs the countable rules and nothing leaves your machine. To run the judgment rules too, put a TypeSafe key in TYPESAFE_API_KEY and drop --dry-run. The first time, it prints exactly what it is about to send and where, and waits for your answer.

It exits 0 when nothing tripped, 1 when at least one rule did, 2 when the tool could not do its job, and 3 when the judgment rules needed a yes and did not get one.

The nose is the mascot. It is one hand-drawn SVG with six expressions, in assets/nose/, and snifftest serve opens a local page where you type and the nose reacts.

Reading a flag

draft.md:14 dash_present 1.00 A long dash. Give the sentence a full stop instead.
draft.md:31 restating_closer 0.84 The last sentence says the paragraph again. End one sentence earlier.

The number is how sure the checker is, between 0 and 1, and it says nothing about how bad the problem is. A countable rule always scores 1.00. A judgment rule counts as a flag at or above the threshold, which is 0.7 unless the ruleset or --threshold says otherwise. A reading between 0.4 and 0.6 is reported as no judgment and never becomes a flag or a pass. That band exists because the judgment model answers about 0.5 on text it cannot read, and a flat middle number is the one failure that looks like a clean draft.

--format json prints the same flags for a machine, with every reading including the ones under the threshold. snifftest rules prints the ruleset in force and which file each rule came from, which is the quickest answer to "why did that flag".

The rules

The default ruleset ships in rules/default.yaml. Fifteen rules, and the file itself is the documentation. Ten apply to most prose and five are conventions of copy meant to sell.

RuleKindWhat it catches
dash_presentcountableAn en dash or an em dash. A hyphen is fine, and so is an en dash between numerals.
colon_heavycountableThree or more colons in one paragraph. URLs and clock times do not count.
sentence_rhythmcountableEvery sentence the same length, in paragraphs of four sentences and sixty words or more.
slop_vocabcountableTwelve words that turn up far more often in generated text than in prose a person wrote.
banned_wordscountableYour own list. Empty until you fill it.
not_x_but_yjudgmentA sentence whose whole job is to swap one label for another.
tricolonjudgmentThree items for the cadence.
stacked_hedgingjudgmentTwo or more softeners on one claim.
rhetorical_openerjudgmentA paragraph that opens on a question nobody asked.
restating_closerjudgmentA last sentence that says the paragraph again.
self_undercuttingjudgment, marketingCopy that talks the reader out of the thing on offer.
first_x_thatjudgment, marketingA claim to be the first.
naked_cost_figurejudgment, marketingA cost with no customer price and no alternative beside it.
jobs_claimjudgment, marketingA claim about employment.
pullquote_fragmentjudgment, marketingA display quote with no verb.

The five rules tagged marketing sit out an ordinary run. Ask for them on a landing page with --only marketing, which runs those five and nothing else. To run everything, write a project file that extends the default and sets off_by_default: [].

Fenced code is dropped before either kind of rule sees it. Headings, tables, front matter, link definitions and HTML comments are never sent to the judgment rules, and the countable rules only read the ones a rule names.

Writing your own

A .snifftest.yaml in your project root is picked up on every run. It can extend the default ruleset and change the rules it disagrees with, matched by id, so a house that wants five colons instead of three writes one rule and inherits the other fourteen.

version: 1
extends: default
threshold: 0.7

rules:
  # A countable rule of your own is a pattern and a message.
  - id: no_utilize
    kind: regex
    pattern: "\\butili[sz]e"
    flags: i
    message: "Use. The word is use."

  # Override a shipped rule by reusing its id.
  - id: colon_heavy
    kind: regex
    builtin: colon_count
    min: 5
    message: "Five colons in one paragraph."

  # A judgment rule is a description, its near misses, and two criteria.
  - id: passive_apology
    kind: judgment
    what: |
      A sentence that apologises for the document itself: for its length,
      its lateness, or the writer's lack of expertise.
    not_for: |
      An apology to a person for a thing that happened.
      A stated limit of scope.
    examples:
      - "Sorry this is so long."
      - "I am no expert, but here goes."
    criteria:
      true: "At least one sentence apologises for the document or the writer."
      false: "No sentence apologises for the document or the writer."
    message: "The draft is apologising for itself. Cut the line."

A countable rule names either a builtin or a pattern, never both. The built-ins are dash_present, colon_count, sentence_rhythm, slop_vocab and banned_words, and each takes the tuning keys the default file shows. A rule may carry tags, and a countable rule may name the kinds of block it applies to with chunks. A judgment rule's not_for is what keeps it honest. A rule with a what and no not_for will flag things you did not mean.

A pattern with a nested quantifier is refused when the ruleset loads, and every pattern runs against a capped slice of text. Neither is a proof that a pattern cannot run for a long time. See SECURITY.md.

To propose a rule for the shipped set, open a rule proposal issue. CONTRIBUTING.md says what one needs.

Nothing is sent before the answer to one question is yes. The countable rules run first, on your machine, whatever happens next. Then, if the ruleset has judgment rules and you did not pass --dry-run, the checker looks for a key in TYPESAFE_API_KEY. Without one it prints the countable verdict, says the judgment rules could not run, and exits 2. With one, it prints this and waits:

Sniff Test is about to use the judgment rules, which run on a model.

  What leaves this machine: one paragraph of your text at a time, from 3 files,
    together with the wording of these rules: not_x_but_y, tricolon, stacked_hedging, rhetorical_opener, restating_closer.
  Where it goes: https://api.typesafe.ai/v1/systemone (TypeSafe), over HTTPS, with your TYPESAFE_API_KEY.
  What comes back: one probability per rule per paragraph.
  What is never sent: file names, file paths, anything outside the text you pointed at.
  There is no telemetry, no analytics, and nothing is stored by this tool.

  Countable rules never leave the machine. Run with --dry-run to use only those.

Send paragraphs to TypeSafe? [y/N]

A yes is remembered under ~/.config/snifftest/consent.json, or under $XDG_CONFIG_HOME when that is set. It is never written into the directory being checked, because a consent file committed to a repository would answer for everyone who clones it. --yes answers and remembers without the prompt. SNIFFTEST_SEND=1 answers for one run in CI and writes nothing down. With no terminal to ask in and no answer in the environment, the checker exits 3 and sends nothing.

Each request carries one paragraph and every judgment rule's wording. It goes over HTTPS with your key as a bearer token, and the reply is a probability per rule. The wire format and the guards around it are in src/jev.ts, which is the only file in the tool that opens a network connection for check.

Answers are cached on disk so that a run interrupted by an outage does not pay for every paragraph again. The cache lives under ~/.cache/snifftest, or $XDG_CACHE_HOME, or SNIFFTEST_CACHE_DIR. Each entry is named by a hash of the paragraph, the exact wording of the questions asked about it and the model they were sent to, and it holds rule ids, probabilities, the model name and a date. The paragraph itself is never written to disk. Entries expire after a fortnight. --no-cache skips the cache for a run, and SNIFFTEST_CACHE_DIR=off turns it off for good.

SECURITY.md has the full account, including the limits.

Before a commit

One command, from the root of your repository:

curl -fsSL https://raw.githubusercontent.com/DanRWilloughby/snifftest/v0.1.0/hooks/pre-commit \
  -o .git/hooks/pre-commit && chmod +x .git/hooks/pre-commit

Read it before you trust it. The hook checks the Markdown and text files you staged, as you staged them, with the countable rules only. It sends nothing unless SNIFFTEST_SEND=1 and TYPESAFE_API_KEY are both in your environment. It blocks a commit on a flag. When the checker itself is missing, broken or could not be fetched, it says so and steps aside, because a failed download is not evidence about your prose. SNIFFTEST_STRICT=1 reverses that.

Skip it once with SNIFFTEST_SKIP=1 git commit or git commit --no-verify.

The same script works under husky, and there are two entries for the pre-commit framework, snifftest for the free rules and snifftest-send under the manual stage for the rest. docs/husky.md has all three.

In CI

name: Prose
on: pull_request

permissions: {}

jobs:
  snifftest:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@fbc6f3992d24b796d5a048ff273f7fcc4a7b6c09 # v5.0.0
      - uses: DanRWilloughby/snifftest@v0.1.0
        with:
          paths: docs

The Action runs the countable rules and nothing else unless you set send and pass a key in as api-key. A pull request from a fork always gets the countable rules only, whatever the workflow says. The Action refuses to run on any event whose name ends in _target, refuses a floating version, and fetches the exact version named from the npm registry into a scratch directory outside the checkout, so the repository being checked cannot hand it a checker by committing one. It needs no token of its own. With comment: true and a github-token it posts the checker's output on the pull request, and no line of the draft is copied into that comment.

Pin the Action by commit SHA if you want the stronger guarantee. The inputs and the exit codes are tabled in docs/husky.md.

In Claude Code

/plugin marketplace add DanRWilloughby/snifftest
/plugin install snifftest@snifftest

Then /snifftest draft.md, or hand Claude a draft and ask whether it passes. The skill runs the countable rules by default. The judgment pass is the user's call and the skill never answers the sending question on their behalf: it adds no flag that skips the prompt and never touches the key. docs/claude-code.md has the two other ways to install it.

Measuring it

snifftest eval plants one known fault per rule into copies of your own clean paragraphs, runs the corpus three ways, and reports what each way caught and what it flagged on the clean originals. Arm A is no tool. Arm B is the countable rules. Arm C is the countable rules plus the judgment rules, and it is the only arm that costs anything. Each run writes a Markdown report and a scores.json, and it writes the clean and seeded paragraphs beside them with a .gitignore, because they carry your prose in full.

snifftest bench asks a panel of general models the same questions over the same corpus, through OpenRouter and one direct Anthropic call, and puts cost, speed and accuracy side by side. An OpenAI row can be called directly too, on OpenAI's own API with OPENAI_API_KEY, so a model can be measured without an OpenRouter account and its latency is the provider's rather than a proxy's. bench/panel-direct.yaml is a panel of nothing but direct rows. It asks for consent per destination, and a yes given for TypeSafe is never a yes for anyone else.

The run committed under bench/results/2026-09-17/ is the eval over the packaged corpus with eight seeds per rule, and beside it the bench over the same 166 paragraphs with bench/panel-direct.yaml: four general models, each on its own provider's API, on the same day.

ArmJudgment faults caught, of 80Clean paragraphs flagged, of 54Cost per 100 paragraphsMedian per paragraph
Sniff Test, judgment model (Jev, measured)631$0.0129182 ms
Claude Haiku 4.5 (measured)6637$0.431,971 ms
Claude Sonnet 5 (measured)722$1.346,083 ms
Claude Opus 5 (measured)770$3.086,532 ms
OpenAI gpt-5.6-sol (measured)730$1.644,428 ms

Every row is one paragraph per request. The Sniff Test row is the eval's arm C, flags counted at 0.7, cost and latency from provider-reported usage. The model rows are snifftest bench on 2026-09-17, one repeat, cache off, and they count each model's own yes, which is the decision the model made; their cost is the returned token usage at the list prices recorded under bench/prices/ with no prompt caching, and their latency is the wall clock at this end. Haiku, Sonnet and Opus were given 2,000 completion tokens, because at the default 900 Sonnet 5 ran out of room on 20 of its 166 replies on an earlier pass of the same run and a cut reply counts as unanswered; gpt-5.6-sol was given 4,000 at low reasoning effort. bench-tables.md in the results folder carries p95, the per-rule detail, every failure and the budget each row was sent. Jev ran in the same rotation as the models, where it read 59 of 80, 2 of 54 and 198 ms, with one rule missing from its reply on 13 paragraphs; across the runs of this corpus on 2026-09-17 the judgment model read between 59 and 64 of 80, and that swing is the size to read every row against.

What that supports. On this corpus the judgment model catches about as many faults as the cheapest general model and fewer than the mid and top tiers, raises far fewer false alarms than the cheapest one, and does it at about a thirtieth of that model's cost and a tenth of its latency, with no general model in the loop. The top models catch more, at twenty to thirty-five times the latency and a hundred to two hundred and forty times the cost.

Three things to read beside the table. Eight seeds per rule is a small sample, so the per-rule figures are direction rather than measurement. The eval measures every rule in the file, including the five marketing rules an ordinary check sits out. And two of the ten judgment rules were reworded after a first run on these seeds and measured again on the same seeds; docs/eval-notes.md carries both numbers and the reasoning.

snifftest eval --twins examples/adversarial measures what a sentence written to the checker does to the readings around it. examples/CORPUS.md describes the corpus and where every paragraph came from.

Configuration

OptionWhat it does
--rules <path>Use this ruleset instead of .snifftest.yaml or the built-in one.
--root <dir>The tree being checked, when it is not the directory you are in.
--threshold <0-1>The probability at or above which a judgment counts as a flag.
--format text|jsonHow to print the flags.
--only <tags>Run only the rules carrying one of these tags.
--skip <tags>Never run a rule carrying one of these tags.
--dry-runMake no network request of any kind. For check, the countable rules and nothing else.
--no-cacheAsk about every paragraph again instead of reusing an answer from the last fortnight.
--yes, -yAnswer the send question for this run and remember the answer.
VariableWhat it does
TYPESAFE_API_KEYThe key the judgment rules are sent with. Read from the environment and nowhere else.
SNIFFTEST_SENDAnswer the send question in CI without remembering it. 1 means TypeSafe, which is where check sends and nowhere else.
SNIFFTEST_CACHE_DIRWhere cached answers live. off for none.
OPENROUTER_API_KEY, ANTHROPIC_API_KEY, OPENAI_API_KEYUsed by bench only. Each one is the key its own rows are called with, and a panel row whose key is missing says so rather than running.

snifftest --help lists the options for eval and bench as well.

The package has no runtime dependencies and needs Node 20 or newer. Installing from the npm registry needs nothing else. Installing from a git URL needs Bun on the machine, because the executable is built on install.

Contributing

CONTRIBUTING.md has the ground rules, the test setup and what a rule proposal needs. Security problems go to a private advisory, never to a public issue. SECURITY.md says how.

Licence

MIT. See LICENSE.