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/cyanheads/workflows-mcp-server/api-utilsnpx skills add cyanheads/workflows-mcp-server --skill api-utilsgit clone --depth 1 https://github.com/cyanheads/workflows-mcp-serverWhat 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 | $0.00037 | $0.04698 |
| Opus 5 | $0.00018 | $0.02349 |
| Sonnet 5 | $0.00007 | $0.00940 |
| Haiku 4.5 | $0.00004 | $0.00470 |
Grade A, and why
api-utils 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.
This is a copy
100% identical to api-utils — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Overview
Utility exports from @cyanheads/mcp-ts-core/utils. Utilities with complex APIs have dedicated reference files; simpler utilities are documented inline below.
Tier 3 = optional peer dependency. Install as needed (e.g., bun add js-yaml). All Tier 3 methods are async (lazy-load deps on first call).
Context parameters. Every helper below that takes a context accepts the handler Context as well as a RequestContext bag — pass ctx straight through, no slicing.
References
| Reference | Path | Covers |
|---|---|---|
| Formatting | references/formatting.md |
markdown(), MarkdownBuilder, diffFormatter, tableFormatter, treeFormatter — builder patterns, option types, style variants, usage examples |
| Parsing | references/parsing.md |
yamlParser, xmlParser, csvParser, jsonParser, pdfParser, dateParser, frontmatterParser — method signatures, option types, peer deps, Allow flags, PDF workflows |
| Security | references/security.md |
sanitization, RateLimiter, IdGenerator — config types, method details, sensitive fields, usage examples |
@cyanheads/mcp-ts-core/utils — network
| Export | API | Notes |
|---|---|---|
fetchWithTimeout |
(url, timeoutMs, context, options?: FetchWithTimeoutOptions) -> Promise<Response> |
Wraps fetch with AbortController timeout. timeoutMs bounds the whole exchange: on a 2xx carrying a body the returned Response is a passthrough wrapper that keeps the deadline armed until the body closes, errors, or is cancelled, so a stalled stream rejects the caller's .text()/.json() with the same Timeout error the header phase raises. status, statusText, headers, url, redirected, and type carry across the wrapper; the original body is locked by it, and bodyless/null-body responses (HEAD, 204/205/304) come back untouched. FetchWithTimeoutOptions extends RequestInit (minus signal) and adds rejectPrivateIPs?: boolean, expectedStatuses?: number[] (listed non-2xx statuses logged at debug not error, still thrown), errorBodyLimit?: number (bytes of a non-2xx body kept, default 500), and signal?: AbortSignal (external cancellation). On a non-2xx, error.data carries status/body plus the legacy statusCode/responseBody aliases (identical values; consolidating in a future major); a body over errorBodyLimit is captured from both ends — 40% head, 60% tail, joined by …[N bytes elided]… — so a diagnostic behind a boilerplate preamble survives the cap, while a body still streaming at the 16 KiB scan ceiling stays head-only with a trailing …. SSRF guard (best-effort, not hard isolation): blocks RFC 1918, loopback, link-local, CGNAT, cloud metadata. DNS validation on Node, Bun, and Cloudflare Workers under nodejs_compat; hostname-only fallback otherwise. Manual redirect following (max 5) with per-hop SSRF check. DNS rebinding / TOCTOU gap — the validation lookup and fetch's own resolution are independent; pair with egress controls or a DNS-pinning fetch proxy for strong isolation. Error/log redaction: URLs written into thrown errors and log lines are reduced to origin + pathname — the query string (where API keys commonly ride: ?api-key=…, ?api_key=…) never reaches the client or the logs. The actual request still uses the full URL. |
withRetry |
<T>(fn: () => Promise<T>, options?: RetryOptions) -> Promise<T> |
Executes fn with exponential backoff. Retries on transient errors (ServiceUnavailable, Timeout, RateLimited); non-transient errors fail immediately. Honors an upstream Retry-After on data.retryAfter (delta-seconds or HTTP-date) over exponential backoff, capped at maxDelayMs; a requested wait beyond the cap fails fast rather than sleeping. On exhaustion, enriches the final error with attempt count in message and data.retryAttempts. Place the retry boundary around the full pipeline (fetch + parse), not just the network call. RetryOptions: maxRetries (default 3), baseDelayMs (default 1000), maxDelayMs (default 30000), jitter (default 0.25), operation (log label), context (RequestContext), signal (AbortSignal), isTransient (custom predicate). |
httpErrorFromResponse |
(response: Response, options?: HttpErrorFromResponseOptions) -> Promise<McpError> |
Maps an HTTP Response to a properly classified McpError — full status table including 401/403/408/422/429/5xx, body capture (truncated), retry-after header, optional cause. error.data carries status/body plus the legacy statusCode/responseBody aliases (identical values), so a consumer can classify either helper's error without knowing which raised it. Use this instead of hand-rolling if (status === 429) ... ladders. Reads the response body — clone() first if you need it elsewhere. HttpErrorFromResponseOptions: service? (logical name in message, e.g. 'NCBI'), captureBody? (default true), bodyLimit? (default 500), data? (extra fields merged into error.data), cause?, codeOverride? (per-status mapping override). Pairs naturally with withRetry — both classify codes the same way. |
httpStatusToErrorCode |
(status: number) -> JsonRpcErrorCode | undefined |
Sync status → code lookup. Returns undefined for 1xx/2xx/3xx. Use when you need just the code without a Response object handy. |
What ships with it
3 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 · 179 lines · 37 tokens per session scan A f75eae5c2ac4
api-utils is a skill published in the GitHub repository cyanheads/workflows-mcp-server (31 stars, last pushed 11d ago), licensed Apache-2.0. It adds 37 tokens to every session and 4,698 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to api-utils, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
dagster-docs
Expert guidance for writing documentation for the Dagster docs website. ALWAYS use before creating or updating documentation in the docs directory.
sofagent-fde
前线部署与知识工程专家。梳理企业业务流、识别 AI 节点、构建 ontology 本体数据、交付离场。 部署完成后转为持续优化模式(sustain),自动读 audit 报告趋势生成优化报告。 不写应用代码——把企业业务规则、组织架构、系统边界转译成 sofagent 的数据层和约束层。.
sofagent-audit
收到用户任务后,不要自己执行——用 Bash tool 把任务交给 DeepAgents 编排引擎:.
test-workflow
Universal n8n workflow testing via webhook or sub-workflow pattern.
aip-tracker
Track Airflow Improvement Proposal (AIP) implementation progress by comparing Confluence specs against codebase evidence. Use when asked to assess, report on, or compare AIP status.
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.