Em dashes crept back into examples, docs/platform-native.md, several READMEs,
the ponytail-debt skill, and a command file since 88431de. Replaced with plain
punctuation (commas, matching the house convention), .openclaw mirror
regenerated. Follows 88431de's scope: leaves untouched the vendored caveman
SKILL.md and the dated benchmarks/results/ writeups (historical records).
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
#82 added a "Web tasks: rung 3 lookup" section to the always-on ponytail
SKILL.md, about an external `modern-web` CLI most users won't have installed.
It's optional bloat in the always-on ruleset, and it broke CI by leaving the
.openclaw mirror stale.
Reverts the section from skills/ponytail/SKILL.md, the README callout, and
examples/web-platform-lookup.md, then regenerates the .openclaw mirror and
removes the Spanish callout that #174 had mirrored. Suite green (56/56).
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Scoped, optional reference to Modern Web Guidance so the agent can look
up native platform features on web work, filling the gap at rung 3 of
the ladder. Three additive changes, no compact-ruleset surgery:
- skills/ponytail/SKILL.md: "Web tasks: rung 3 lookup" section after the
ladder. Runtime source only, not byte-compared, so no six-file sync.
- README.md: one "Pairs well with" line, matching the Caveman pattern.
- examples/web-platform-lookup.md: a <dialog closedby> vs Radix
before/after in the date-picker.md style.
Lookup, not license: MWG suggests, the ladder filters. Absent CLI
changes nothing. No new INVARIANT phrase; rule-copy check stays green.
Co-authored-by: Claude <noreply@anthropic.com>
New examples (examples/):
- modal-dialog: <dialog> vs Radix/react-modal
- url-params: URLSearchParams vs query-string
- number-formatting: Intl.NumberFormat vs numeral
- infinite-scroll: IntersectionObserver vs react-infinite-scroll-component
- deep-clone: structuredClone vs lodash.cloneDeep / JSON hack
- group-by: Object.groupBy vs lodash.groupBy
New doc (docs/platform-native.md):
Comprehensive reference of platform-native solutions across HTML elements,
CSS, Browser APIs, Node.js stdlib, Python stdlib, and database features.
Covers 60+ cases where the platform already has what developers reach for
a package to do.
* docs: correct cost claim to 42-75% from 30-rep re-verification
Re-ran the cost benchmark at 30 reps per cell on Claude (Haiku/Sonnet/Opus):
ponytail is 42-75% cheaper than no-skill, not the previously published 47-77%.
The direction holds, both ends came in a few points lower. Updates the README
headline and body, the benchmark chart subtitle, and the benchmarks/README cost
table, and adds a dated results doc with full method.
Also adds the OpenAI (gpt-4.1-mini/gpt-5.4-mini/gpt-5.5) and Gemini configs. On
OpenAI reasoning models ponytail costs more, not less, so the claim stays
Claude-scoped. Gemini run pending a fresh-quota day.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs: scope the body claim to Claude models
"on every model" read as cross-provider, but the 30-rep verification shows
the cost win reverses on OpenAI reasoning models. Match the caption and
benchmarks/README, which already say Claude.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs: reframe the pitch as the discipline, not token savings
The cost/code/latency numbers vary by model and on some (terse reasoning
models like GPT-5.5) ponytail costs more, so leading with them as a universal
win was misleading. Adds model-variance to the headline caption and a paragraph
making the stated point the mental model: write only what the task needs,
safety kept, maintainable code. Savings are a model-dependent side effect.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs: name the ladder's reasoning cost
The ladder is a deliberation step: on reasoning models the agent spends
thinking tokens working through the rungs before it saves any output, which
together with the always-on ruleset can outweigh the shorter code. Makes the
GPT-5.5 cost increase legible rather than just stating it.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs: state the single-shot limitation honestly
The benchmark is single-shot (one prompt, one completion); it does not measure
a real multi-turn agent session, where the ruleset re-injects and the ladder
deliberates every turn. Adds that caveat to the README, and corrects the
benchmarks/README note that claimed caching widens the gap "in ponytail's
favor" (unverified, and a measured agentic A/B in #121 found the opposite can
happen). Per-session cost can land either way.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* docs: fix run count in caption (cost is 30 runs, not 10)
Cost was re-verified at 30 reps; code and latency are still the original 10.
The headline caption said "10 runs" across the board, which undersold the cost
verification. Now states the split, matching benchmarks/README.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* fix(examples): replace hand-written examples with real benchmark output
The examples/ before/after blocks were authored by hand, not produced by a
model. Issue #127 correctly noted that nobody hand-rolls quicksort for "sort
this array" - every model just calls .sort(). Regenerate all examples verbatim
from a real benchmark run (Claude Haiku 4.5, no-skill arm vs ponytail arm,
benchmarks/output.json) so the before/after is reproducible, not authored:
email 75->3, debounce 116->10, csv 20->3, countdown 267->9, rate-limit 128->10 LOC
- Delete sorting.md (pure strawman) plus the other hand-written caricatures
(api-endpoint, caching, date-picker)
- Add benchmarks/generate-examples.mjs to regenerate examples from any run
- examples/README.md indexes the set and documents how to reproduce
Closes#127
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Swap em dashes for commas/colons/periods in the README, skills, AGENTS.md and
its five rule copies, examples, command files, and benchmark README. Rule
copies stay in sync (same edit applied to all) and the invariant guard passes.
Left untouched on purpose: the vendored caveman SKILL.md (verbatim third-party
text), the dated benchmark writeups in results/ (historical records), and
.js code comments.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The ponytail API example returned the raw ORM model, which exposes every
column. Restore a response_model whitelist (the trust boundary) while still
cutting the repository/service/exception ceremony. Matches the skill's own
'never cut security' rule.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
