Two Windows agent-loop friction fixes:
1. tools/mcp_tool.py (#56536): shutil.which(cmd, path=env_path) reads
executable extensions from the PARENT process PATHEXT, not the MCP
subprocess env — a stdio MCP config supplying both PATH and PATHEXT
could fail to resolve a command its own env can locate, and startup
then got a bare command name. On Windows, when the first which() call
misses and the config env carries PATHEXT (any key casing), retry the
resolution with the config's PATHEXT temporarily applied.
2. skills/ + optional-skills/ (#50606): 42 SKILL.md files that declare
platforms: [.., windows] used python3 in their command examples.
python3 does not exist on native Windows (the toolchain probe in the
system prompt reports python3=missing), so every copy-pasted example
burned a failed agent turn before self-correction. Replaced the
command word python3 -> python (python3-config / python3.x version
strings untouched). python is the spelling that exists in every
Hermes-managed environment (Windows native, uv-managed venvs on all
three OSes); agents on POSIX hosts additionally see the probed
toolchain line and adapt either way.
Findings from scanning skills/ + optional-skills/ with NVIDIA
SkillEvaluator's deterministic Tier 1 checks (PII/secrets, unicode
smuggling, script lint):
- pixel-art, pokemon-player: remove hardcoded /home/teknium/ personal
paths (use ~ / portable phrasing); pokemon-player no longer claims
machine-specific state as fact
- kanban-video-orchestrator: replace <path> angle-bracket token in
frontmatter credits (flagged as XML-in-frontmatter prompt injection)
- comfyui, hermes-agent, unsloth, 1password, actual-setup: rephrase
placeholder secrets so they no longer pattern-match real credentials
(your-* placeholder convention, comment markers, {env:...} form)
- docker-management, pytorch-lightning: drop user:pass@ from example
connection strings (env/secret-manager guidance instead)
- evm: break up Keccak round constant that Luhn-validates as a credit
card number (digit-group underscores, value unchanged)
All targeted skills now pass pii+unicode+lint 3/3 except unsloth, which
retains scanner false positives only (Colab notebook IDs read as Bitcoin
addresses; an email inside a quoted upstream system prompt).
Every SKILL.md description over 60 chars was silently truncated to
57 chars + '...' in the system-prompt skill index
(extract_skill_description, agent/skill_utils.py), destroying the
routing signal for 69 of 179 skills — some descriptions ran to
1,005 chars.
Rewrites follow the authoring standard: <=60 chars, one sentence,
ends with a period, trigger front-loaded, no marketing words, no
skill-name repetition. Excess detail already lives in each skill's
body.
Includes the touchdesigner-mcp trim from PR #32361 (credit:
@JeliTron) and aligns with the router-precision direction of PR
#48780 (@John-Lussier). Docs catalogs + per-skill pages regenerated
via website/scripts/generate-skill-docs.py.
Co-authored-by: JeliTron <287797501+JeliTron@users.noreply.github.com>
Follow-up to the GitHub-skills fix: the same hardcoded ~/.hermes/.env
pattern existed across other bundled and optional skills. Under the
official Docker setup (HERMES_HOME=/opt/data, subprocess HOME=/opt/data/home)
those paths point at a nonexistent file.
- kanban-video-orchestrator setup.sh.tmpl + docs: resolve via
${HERMES_HOME:-$HOME/.hermes}/.env in check_key()
- telephony.py / canvas_api.py / hyperliquid_client.py: error and
save messages now report the real resolved env path instead of a
hardcoded literal (path resolution itself was already correct)
- godmode SKILL.md: load_dotenv snippet resolves via HERMES_HOME
- watch_github.py + ~20 SKILL.md prose mentions: document the env file
as ${HERMES_HOME:-~/.hermes}/.env so Docker users edit the right file
Salvages the closed PR #2010 (Mibayy's EVM multi-chain skill) and folds the
existing optional-skills/blockchain/base/ skill into it, so we ship one
unified EVM skill instead of two overlapping ones.
Pulled in from base/:
- 8 missing Base-specific tokens (AERO, DEGEN, TOSHI, BRETT, WELL,
cbETH, cbBTC, wstETH, rETH) added to KNOWN_TOKENS['base'] —
base/ had 11, evm/ only had 3 (USDC/DAI/WETH).
- L1 data-fee pitfall note for rollups (Base, Arbitrum, Optimism, zkSync).
- Batch-size chunking in rpc_batch (Base RPC caps batches at 10 calls
per JSON-RPC request; adding more known tokens tripped that limit
and broke 'wallet --chain base' with a 'list index out of range'
error). Ported the chunking pattern from base/_rpc_batch_chunk.
Latent bugs found and fixed while smoke-testing the merge:
- cmd_multichain and cmd_allowance both iterated KNOWN_TOKENS[chain]
with 'for contract, (symbol, _name) in known.items()' — but the dict
shape is {symbol: contract_str}, not {addr: (sym, name)}. This raised
'too many values to unpack (expected 2)' on every non-zero balance.
Now iterates as 'for symbol, contract in known.items()'.
- Input validation: added is_valid_address / is_valid_txhash /
require_address / require_txhash helpers and wired them into
cmd_wallet, cmd_tx, cmd_token, cmd_activity, cmd_allowance,
cmd_decode, cmd_contract, cmd_multichain. Fails fast with exit 2
on malformed input instead of burning an RPC round-trip on garbage.
Documentation:
- SKILL.md now flags that this skill supersedes optional-skills/blockchain/base.
- Pitfalls expanded for ENS (single-endpoint dependency on
ensideas.com), tx decoding (single-endpoint dependency on
4byte.directory), and rollup L1 fees.
- Regenerated website/docs/user-guide/skills/optional/blockchain/
blockchain-evm.md and removed the old blockchain-base.md page;
catalog updated.
Removed:
- optional-skills/blockchain/base/SKILL.md
- optional-skills/blockchain/base/scripts/base_client.py
- website/docs/user-guide/skills/optional/blockchain/blockchain-base.md
Smoke-tested live against Base mainnet: stats, price, token, wallet
(vitalik.eth — 3.12 ETH + 13.88 USDC + 4.23 DAI + 0.06 WETH on Base)
and allowance (ethereum, 7 unlimited approvals to Uniswap/Permit2).
Original PR #2010 author: Mibayy.
Original base/ skill author: youssefea.
- Implement tests for normalizing perpetual markets and DEXs.
- Validate JSON output for main commands including markets, candles, and review.
- Ensure environment variable resolution and dotenv file reading are covered.
- Test export functionality for market data with expected output structure.
Extends the Windows-gating work to the optional-skills/ tree. Every
SKILL.md that previously omitted the platforms: field now carries an
explicit declaration, which Hermes's loader (agent.skill_utils.
skill_matches_platform) honors to skip-load on incompatible OSes.
58 skills declared cross-platform (platforms: [linux, macos, windows]):
autonomous-ai-agents/blackbox, autonomous-ai-agents/honcho
blockchain/base, blockchain/solana
communication/one-three-one-rule
creative/blender-mcp, creative/concept-diagrams, creative/hyperframes,
creative/kanban-video-orchestrator, creative/meme-generation
devops/cli (inference-sh-cli), devops/docker-management
dogfood/adversarial-ux-test
email/agentmail
finance/3-statement-model, finance/comps-analysis, finance/dcf-model,
finance/excel-author, finance/lbo-model, finance/merger-model,
finance/pptx-author
health/fitness-nutrition, health/neuroskill-bci
mcp/fastmcp, mcp/mcporter
migration/openclaw-migration
mlops/accelerate, mlops/chroma, mlops/clip, mlops/guidance,
mlops/hermes-atropos-environments, mlops/huggingface-tokenizers,
mlops/instructor, mlops/lambda-labs, mlops/llava, mlops/modal,
mlops/peft, mlops/pinecone, mlops/pytorch-lightning, mlops/qdrant,
mlops/saelens, mlops/simpo, mlops/stable-diffusion
productivity/canvas, productivity/shop-app, productivity/shopify,
productivity/siyuan, productivity/telephony
research/domain-intel, research/drug-discovery, research/duckduckgo-search,
research/gitnexus-explorer, research/parallel-cli, research/scrapling
security/1password, security/oss-forensics, security/sherlock
web-development/page-agent
5 skills gated from Windows (platforms: [linux, macos]):
mlops/flash-attention - Flash Attention wheels are Linux-first; Windows
install requires building from source with CUDA
mlops/faiss - faiss-gpu has no Windows wheel; gate rather than
leak partial (faiss-cpu) support
mlops/nemo-curator - NVIDIA NeMo ecosystem has no first-class Windows path
mlops/slime - Megatron+SGLang RL stack is Linux-only in practice
mlops/whisper - openai-whisper + ffmpeg setup on Windows is
non-trivial; gate until Windows install stanza lands
Methodology: scanned every SKILL.md for Windows-hostile signals
(apt-get, brew, systemd, osascript, ptrace, X11 binaries, POSIX-only
Python APIs, Docker POSIX $(pwd) bind-mounts, explicit 'linux-only' /
'macos-only' text). 3 skills flagged as having hard signals on review:
docker-management and qdrant only had POSIX $(pwd) docker examples and
the tools themselves (Docker Desktop, Qdrant) run fine on Windows —
declared ALL. whisper had an apt/brew ffmpeg install path and nothing
else but the openai-whisper Windows install story is rough enough to
warrant gating.
Strict-over-lenient policy: when in doubt, gate. Easier to un-gate after
verified Windows support lands than to leak partial support that
manifests as mid-task failures for Windows users.
Enhancements to the Solana blockchain skill (PR #212 by gizdusum):
- CoinGecko price integration (free, no API key)
- Wallet shows tokens with USD values, sorted by value
- Token info includes price and market cap
- Transaction details show USD amounts for balance changes
- Whale detector shows USD alongside SOL amounts
- Stats includes SOL price and market cap
- New `price` command for quick lookups by symbol or mint
- Smart wallet output
- Tokens sorted by USD value (highest first)
- Default limit of 20 tokens (--limit N to adjust)
- Dust filtering (< $0.01 tokens hidden, count shown)
- --all flag to see everything
- --no-prices flag for fast RPC-only mode
- NFT summary (count + first 10)
- Portfolio total in USD
- Token name resolution
- 25+ well-known tokens mapped (SOL, USDC, BONK, JUP, etc.)
- CoinGecko fallback for unknown tokens
- Abbreviated mint addresses for unlabeled tokens
- Reliability
- Retry with exponential backoff on 429 rate-limit (RPC + CoinGecko)
- Graceful degradation when price data unavailable
- Capped API calls to respect CoinGecko free-tier limits
- Updated SKILL.md with all new capabilities and flags
Solana blockchain queries are a niche use case — not needed by every user.
Moved from skills/ (bundled) to optional-skills/ (installable via Skills Hub).