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hermes/website/docs/user-guide/skills/bundled/research/research-polymarket.md
Teknium 252d68fd45 docs: deep audit — fix stale config keys, missing commands, and registry drift (#22784) 
* docs: deep audit — fix stale config keys, missing commands, and registry drift

Cross-checked ~80 high-impact docs pages (getting-started, reference, top-level
user-guide, user-guide/features) against the live registries:

  hermes_cli/commands.py    COMMAND_REGISTRY (slash commands)
  hermes_cli/auth.py        PROVIDER_REGISTRY (providers)
  hermes_cli/config.py      DEFAULT_CONFIG (config keys)
  toolsets.py               TOOLSETS (toolsets)
  tools/registry.py         get_all_tool_names() (tools)
  python -m hermes_cli.main <subcmd> --help (CLI args)

reference/
- cli-commands.md: drop duplicate hermes fallback row + duplicate section,
  add stepfun/lmstudio to --provider enum, expand auth/mcp/curator subcommand
  lists to match --help output (status/logout/spotify, login, archive/prune/
  list-archived).
- slash-commands.md: add missing /sessions and /reload-skills entries +
  correct the cross-platform Notes line.
- tools-reference.md: drop bogus '68 tools' headline, drop fictional
  'browser-cdp toolset' (these tools live in 'browser' and are runtime-gated),
  add missing 'kanban' and 'video' toolset sections, fix MCP example to use
  the real mcp_<server>_<tool> prefix.
- toolsets-reference.md: list browser_cdp/browser_dialog inside the 'browser'
  row, add missing 'kanban' and 'video' toolset rows, drop the stale
  '38 tools' count for hermes-cli.
- profile-commands.md: add missing install/update/info subcommands, document
  fish completion.
- environment-variables.md: dedupe GMI_API_KEY/GMI_BASE_URL rows (kept the
  one with the correct gmi-serving.com default).
- faq.md: Anthropic/Google/OpenAI examples — direct providers exist (not just
  via OpenRouter), refresh the OpenAI model list.

getting-started/
- installation.md: PortableGit (not MinGit) is what the Windows installer
  fetches; document the 32-bit MinGit fallback.
- installation.md / termux.md: installer prefers .[termux-all] then falls
  back to .[termux].
- nix-setup.md: Python 3.12 (not 3.11), Node.js 22 (not 20); fix invalid
  'nix flake update --flake' invocation.
- updating.md: 'hermes backup restore --state pre-update' doesn't exist —
  point at the snapshot/quick-snapshot flow; correct config key
  'updates.pre_update_backup' (was 'update.backup').

user-guide/
- configuration.md: api_max_retries default 3 (not 2); display.runtime_footer
  is the real key (not display.runtime_metadata_footer); checkpoints defaults
  enabled=false / max_snapshots=20 (not true / 50).
- configuring-models.md: 'hermes model list' / 'hermes model set ...' don't
  exist — hermes model is interactive only.
- tui.md: busy_indicator -> tui_status_indicator with values
  kaomoji|emoji|unicode|ascii (not kawaii|minimal|dots|wings|none).
- security.md: SSH backend keys (TERMINAL_SSH_HOST/USER/KEY) live in .env,
  not config.yaml.
- windows-wsl-quickstart.md: there is no 'hermes api' subcommand — the
  OpenAI-compatible API server runs inside hermes gateway.

user-guide/features/
- computer-use.md: approvals.mode (not security.approval_level); fix broken
  ./browser-use.md link to ./browser.md.
- fallback-providers.md: top-level fallback_providers (not
  model.fallback_providers); the picker is subcommand-based, not modal.
- api-server.md: API_SERVER_* are env vars — write to per-profile .env,
  not 'hermes config set' which targets YAML.
- web-search.md: drop web_crawl as a registered tool (it isn't); deep-crawl
  modes are exposed through web_extract.
- kanban.md: failure_limit default is 2, not '~5'.
- plugins.md: drop hard-coded '33 providers' count.
- honcho.md: fix unclosed quote in echo HONCHO_API_KEY snippet; document
  that 'hermes honcho' subcommand is gated on memory.provider=honcho;
  reconcile subcommand list with actual --help output.
- memory-providers.md: legacy 'hermes honcho setup' redirect documented.

Verified via 'npm run build' — site builds cleanly; broken-link count went
from 149 to 146 (no regressions, fixed a few in passing).

* docs: round 2 audit fixes + regenerate skill catalogs

Follow-up to the previous commit on this branch:

Round 2 manual fixes:
- quickstart.md: KIMI_CODING_API_KEY mentioned alongside KIMI_API_KEY;
  voice-mode and ACP install commands rewritten — bare 'pip install ...'
  doesn't work for curl-installed setups (no pip on PATH, not in repo
  dir); replaced with 'cd ~/.hermes/hermes-agent && uv pip install -e
  ".[voice]"'. ACP already ships in [all] so the curl install includes it.
- cli.md / configuration.md: 'auxiliary.compression.model' shown as
  'google/gemini-3-flash-preview' (the doc's own claimed default);
  actual default is empty (= use main model). Reworded as 'leave empty
  (default) or pin a cheap model'.
- built-in-plugins.md: added the bundled 'kanban/dashboard' plugin row
  that was missing from the table.

Regenerated skill catalogs:
- ran website/scripts/generate-skill-docs.py to refresh all 163 per-skill
  pages and both reference catalogs (skills-catalog.md,
  optional-skills-catalog.md). This adds the entries that were genuinely
  missing — productivity/teams-meeting-pipeline (bundled),
  optional/finance/* (entire category — 7 skills:
  3-statement-model, comps-analysis, dcf-model, excel-author, lbo-model,
  merger-model, pptx-author), creative/hyperframes,
  creative/kanban-video-orchestrator, devops/watchers,
  productivity/shop-app, research/searxng-search,
  apple/macos-computer-use — and rewrites every other per-skill page from
  the current SKILL.md. Most diffs are tiny (one line of refreshed
  metadata).

Validation:
- 'npm run build' succeeded.
- Broken-link count moved 146 -> 155 — the +9 are zh-Hans translation
  shells that lag every newly-added skill page (pre-existing pattern).
  No regressions on any en/ page.
2026-05-09 13:19:51 -07:00

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title, sidebar_label, description
title sidebar_label description
Polymarket — Query Polymarket: markets, prices, orderbooks, history Polymarket Query Polymarket: markets, prices, orderbooks, history

{/* This page is auto-generated from the skill's SKILL.md by website/scripts/generate-skill-docs.py. Edit the source SKILL.md, not this page. */}

Polymarket

Query Polymarket: markets, prices, orderbooks, history.

Skill metadata
Source Bundled (installed by default)
Path skills/research/polymarket
Version 1.0.0
Author Hermes Agent + Teknium
Platforms linux, macos, windows

Reference: full SKILL.md

:::info The following is the complete skill definition that Hermes loads when this skill is triggered. This is what the agent sees as instructions when the skill is active. :::

Polymarket — Prediction Market Data

Query prediction market data from Polymarket using their public REST APIs. All endpoints are read-only and require zero authentication.

See references/api-endpoints.md for the full endpoint reference with curl examples.

When to Use

  • User asks about prediction markets, betting odds, or event probabilities
  • User wants to know "what are the odds of X happening?"
  • User asks about Polymarket specifically
  • User wants market prices, orderbook data, or price history
  • User asks to monitor or track prediction market movements

Key Concepts

  • Events contain one or more Markets (1:many relationship)
  • Markets are binary outcomes with Yes/No prices between 0.00 and 1.00
  • Prices ARE probabilities: price 0.65 means the market thinks 65% likely
  • outcomePrices field: JSON-encoded array like ["0.80", "0.20"]
  • clobTokenIds field: JSON-encoded array of two token IDs [Yes, No] for price/book queries
  • conditionId field: hex string used for price history queries
  • Volume is in USDC (US dollars)

Three Public APIs

  1. Gamma API at gamma-api.polymarket.com — Discovery, search, browsing
  2. CLOB API at clob.polymarket.com — Real-time prices, orderbooks, history
  3. Data API at data-api.polymarket.com — Trades, open interest

Typical Workflow

When a user asks about prediction market odds:

  1. Search using the Gamma API public-search endpoint with their query
  2. Parse the response — extract events and their nested markets
  3. Present market question, current prices as percentages, and volume
  4. Deep dive if asked — use clobTokenIds for orderbook, conditionId for history

Presenting Results

Format prices as percentages for readability:

  • outcomePrices ["0.652", "0.348"] becomes "Yes: 65.2%, No: 34.8%"
  • Always show the market question and probability
  • Include volume when available

Example: "Will X happen?" — 65.2% Yes ($1.2M volume)

Parsing Double-Encoded Fields

The Gamma API returns outcomePrices, outcomes, and clobTokenIds as JSON strings inside JSON responses (double-encoded). When processing with Python, parse them with json.loads(market['outcomePrices']) to get the actual array.

Rate Limits

Generous — unlikely to hit for normal usage:

  • Gamma: 4,000 requests per 10 seconds (general)
  • CLOB: 9,000 requests per 10 seconds (general)
  • Data: 1,000 requests per 10 seconds (general)

Limitations

  • This skill is read-only — it does not support placing trades
  • Trading requires wallet-based crypto authentication (EIP-712 signatures)
  • Some new markets may have empty price history
  • Geographic restrictions apply to trading but read-only data is globally accessible