Currency Rates
mohitagw15856/pm-claude-skills
Convert currencies and fetch live exchange rates with zero API keys — Frankfurter (ECB rates) primary, open.er-api.com fallback, via plain curl.
Reference for multi-hop / triangulated currency conversion on batch rate tapes.
$ npx skills add benchflow-ai/skillsbench --skill triangulated-fx-rates -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench triangulated-fx-rates --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates .claude/skills/triangulated-fx-rates && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "triangulated-fx-rates" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates into .claude/skills/triangulated-fx-rates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulated-fx-rates", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-ratesType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add benchflow-ai/skillsbench --skill triangulated-fx-rates -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench triangulated-fx-rates --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates .agents/skills/triangulated-fx-rates && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "triangulated-fx-rates" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates into .agents/skills/triangulated-fx-rates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulated-fx-rates", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill triangulated-fx-rates -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench triangulated-fx-rates --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates .cursor/skills/triangulated-fx-rates && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "triangulated-fx-rates" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates into .cursor/skills/triangulated-fx-rates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulated-fx-rates", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add benchflow-ai/skillsbench --skill triangulated-fx-rates -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench triangulated-fx-rates --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates .gemini/skills/triangulated-fx-rates && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "triangulated-fx-rates" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates into .gemini/skills/triangulated-fx-rates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulated-fx-rates", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install benchflow-ai/skillsbench triangulated-fx-ratesInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add benchflow-ai/skillsbench --skill triangulated-fx-rates -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates .github/skills/triangulated-fx-rates && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "triangulated-fx-rates" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates into .github/skills/triangulated-fx-rates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulated-fx-rates", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add benchflow-ai/skillsbench --skill triangulated-fx-rates -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench triangulated-fx-rates --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates .opencode/skills/triangulated-fx-rates && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "triangulated-fx-rates" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates into .opencode/skills/triangulated-fx-rates/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "triangulated-fx-rates", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
triangulated-fx-ratesReference for multi-hop / triangulated currency conversion on batch rate tapes.
Triangulated Fx Rates is an agent skill from benchflow-ai/skillsbench. Reference for multi-hop / triangulated currency conversion on batch rate tapes. When a rate row carries an explicit "via" currency, the row's rate is only one leg of the conversion, and the via currency may ITSELF be quoted through another via — so the effective rate is the product of every leg, resolved by walking the chain until a direct quote is reached. Useful when an FX feed lists some pairs directly to the reporting currency and others as triangulated (or doubly-triangulated) quotes through vehicle…
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are cobol).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Triangulated Fx Rates loads about 1.3k tokens when it runs. Until then it costs about 136 tokens; SKILL.md has 581 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 581 words, ~1,323 tokens.
.claude/skills/triangulated-fx-rates/SKILL.md (or your agent's skills folder).Most rate feeds list a direct rate to the reporting currency (typically USD). Less liquid currencies are often quoted through a more liquid vehicle currency (commonly EUR or USD itself). On a batch rate tape this is encoded as a second "via" column on the same row:
CCY RATE VIA
USD 1.0000
EUR 1.0850
GBP 1.2750
CHF 0.9200 EUR <-- CHF -> EUR is the first hop
ZAR 0.0650 EUR <-- ZAR -> EUR is the first hop
BRL 0.3000 ZAR <-- BRL -> ZAR -> EUR -> USD : TWO via hops
JPY 0.0064A blank VIA column means the row is already a direct quote against the
reporting currency. A non-blank VIA column means the row gives the rate
from CCY to VIA — and you still need to convert from VIA to the reporting
currency.
This is the part that is easy to get wrong. The via currency named on a row is not guaranteed to be a direct quote — it may have its own non-blank via column, which in turn may have another, and so on. A single via lookup is therefore only correct when the via happens to be direct. To get a correct effective rate you must follow the chain: keep multiplying in the next leg's primary rate, moving to that leg's via, until you reach a row whose via is blank (a true direct quote against the reporting currency).
effective_rate(CCY) = primary(CCY) × primary(via(CCY)) × primary(via(via(CCY))) × …
────────────────────────────────────────────────────────────
until the via column is blank (a direct quote)Worked examples against the table above:
0.9200 × 1.0850 = 0.99820 → 0.9982 (4dp).0.3000 × 0.0650 × 1.0850 = 0.0211575 → 0.0212 (4dp). Stopping
after the first via (treating ZAR's 0.0650 as if it were ZAR→USD) gives
0.3000 × 0.0650 = 0.0195, wrong by the whole EUR leg.Two distinct defects show up here:
Carry the running product at full precision (enough decimals that no
intermediate leg is truncated — the product of N four-decimal rates has up to
4·N decimals) and round once at the end to the rate field's precision
(typically 4 decimals) with COMPUTE … ROUNDED (half-away-from-zero in
COBOL, matching Python Decimal ROUND_HALF_UP). Rounding each leg to the
rate-field precision before the next multiply corrupts low-rate currencies.
Resolve the rate with a loop that walks the chain, not a one-shot via lookup. Sketched with generic names — substitute your own rate-table and working-storage identifiers:
*> placeholders: acc is a wide running product, cur is the currency
*> currently being resolved, leg/leg-via come from the matched row.
acc := 1
cur := <currency to price>
REPEAT
(leg, leg-via) := primary-rate and via of the row matching cur
acc := acc * leg *> carry full precision, no per-hop round
IF leg-via is blank
done
ELSE
cur := leg-via *> follow the chain one more hop
END-IF
UNTIL done
eff := ROUND(acc) to the rate-field precisionA guard on the maximum number of hops is prudent so a malformed (cyclic) via
column cannot loop forever. How you store acc/eff and which field you
round into depend on your program's own declarations.
Pick the currency with the longest via chain and compute its effective rate by hand, multiplying every leg through to the direct quote, then reconcile against one account whose balance is entirely in that currency. If single-hop currencies reconcile but the multi-hop one is off by a clean constant factor, the chain is being cut short after the first via.
COMPUTE … ROUNDED
semantics and PIC … V… decimal alignment© benchflow-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates of benchflow-ai/skillsbench.
Open the folder on GitHubat commit 9a1f4dd
Triangulated Fx Rates next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Triangulated Fx Rates this skillbenchflow-ai/skillsbench | 1.8k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Currency Ratesmohitagw15856/pm-claude-skills | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Batchasgeirtj/system_prompts_leaks | 69k | — | ~1.3k | Automated safety check: Pass | CC0-1.0 | |
| Modeling Conversion MetricsPostHog/posthog | 40k | — | ~1.4k | Automated safety check: Pass | Custom licence | |
| Batchcodewhale-hq/Codewhale | 41k | — | ~157 | Automated safety check: Pass | MIT | |
| Conversion Rate Optimizationmohitagw15856/pm-claude-skills | 1.4k | — | ~1k | Automated safety check: Pass | MIT |
mohitagw15856/pm-claude-skills
Convert currencies and fetch live exchange rates with zero API keys — Frankfurter (ECB rates) primary, open.er-api.com fallback, via plain curl.
asgeirtj/system_prompts_leaks
Research and plan a large-scale change, then execute it in parallel across 5–30 isolated worktree agents that each open a PR.
PostHog/posthog
Build reusable conversion models — funnel/step conversion rates, drop-off, and time-to-convert — on either PostHog data-warehouse views (HogQL) or an external dbt project.
codewhale-hq/Codewhale
Break a large, parallelizable goal into bounded work units, coordinate existing agent/worktree machinery, integrate, and verify.
mohitagw15856/pm-claude-skills
Audit a landing page or funnel step and produce a prioritised CRO test plan.
ruvnet/ruflo
Per-conversation cost view — list every session in cost-tracking with started-at, message count, top model, and total cost
benchflow-ai/skillsbench
This skill should be used when working on Lean 4 formalization projects to maintain persistent memory of successful proof patterns, failed approaches, project conventions, and user preferences…
benchflow-ai/skillsbench
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure.
benchflow-ai/skillsbench
AC branch pi-model power flow equations (P/Q and |S|) with transformer tap ratio and phase shift, matching acopf-math-model.md and MATPOWER branch fields.
benchflow-ai/skillsbench
Civilization 6 district mechanics library. An agent skill from benchflow-ai/skillsbench.
benchflow-ai/skillsbench
Build deterministic, verifiable data visualizations with D3.js (v6).
benchflow-ai/skillsbench
DC power flow analysis for power systems. An agent skill from benchflow-ai/skillsbench.
Reference for multi-hop / triangulated currency conversion on batch rate tapes. Triangulated Fx Rates is an agent skill from benchflow-ai/skillsbench. Reference for multi-hop / triangulated currency conversion on batch rate tapes.
Run `npx skills add benchflow-ai/skillsbench --skill triangulated-fx-rates -a claude-code`. Or copy the skill folder (tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates in benchflow-ai/skillsbench) into .claude/skills/triangulated-fx-rates in your project. Claude Code loads it when a task matches its description.
Run `npx skills add benchflow-ai/skillsbench --skill triangulated-fx-rates -a codex`. Or copy the skill folder (tasks-extra/cobol-gl-batch-reconcile/environment/skills/triangulated-fx-rates in benchflow-ai/skillsbench) into .agents/skills/triangulated-fx-rates in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add benchflow-ai/skillsbench --skill triangulated-fx-rates -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/triangulated-fx-rates, .gemini/skills/triangulated-fx-rates, .github/skills/triangulated-fx-rates and .opencode/skills/triangulated-fx-rates in your project.
SKILL.md names no scripts, command-line tools or credentials: Triangulated Fx Rates is instructions for the agent only. Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Triangulated Fx Rates is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Triangulated Fx Rates: Currency Rates (mohitagw15856/pm-claude-skills, 1.4k stars), Batch (asgeirtj/system_prompts_leaks, 69k stars), Modeling Conversion Metrics (PostHog/posthog, 40k stars) and Batch (codewhale-hq/Codewhale, 41k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,835 GitHub stars. The repository holds 189 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.