runway
Skill2 starsChanged 3 months agoMITView on GitHub
Show current cloud credit and spend numbers - how much credit was granted, how much is used, how much is left, when it expires, and where the money went. Use whenever the user asks about cloud spend, cloud costs, credits, AWS/Azure/GCP spend, "how much have I spent", "how much is left", "what's my burn", "what's my runway", "am I running out of credits", or invokes /runway. Pulls live from the cloud billing APIs - never answer these from memory or from earlier numbers in the conversation, they go stale.
6 other projects use a version of this.
Adopted by
Most recently taken up by
- s3ntin3l8/runway-ai-usage-trackertheir own version, first seen Nov 8, 2026
- JustinPerea/nebula-nodestheir own version, first seen Nov 5, 2026
- aalishan001/opencockpittheir own version, first seen Oct 25, 2026
- udaysharmadev/Skillstheir own version, first seen Sep 17, 2026
- WellApp-ai/skillstheir own version, first seen Sep 10, 2026
- runapi-ai/runwaytheir own version, first seen Jul 19, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- JustinPerea/nebula-nodes★ 23same name
- udaysharmadev/Skills★ 12same name
- WellApp-ai/skills★ 8same name
- s3ntin3l8/runway-ai-usage-tracker★ 3same name
- aalishan001/opencockpit★ 2same name
- runapi-ai/runway★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repositoryOne other file it gives its agents.
- skill/AGENTS.mdAGENTS.md
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 1 is distinctive, and 2 are very specific to this project.
0
Common
Most of the 6 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 16
Use that interpreter by absolute path — it is the project venv with the cloud SDKs installed.
- Distinctive: line 34
Add at most one line underneath, and only when something genuinely warrants it:
- Very specific: line 45
Never invent a runway figure unless asked.
“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
runway
Pulls live credit and spend facts from configured cloud providers and presents them.
Run it
{{RUNWAY_PYTHON}} {{RUNWAY_REPO}}/runway.pyUse that interpreter by absolute path — it is the project venv with the cloud SDKs
installed; the system python may lack them. Never shell out to aws, az, or
gcloud; the SDKs are used deliberately.
Flags:
- (none) — formatted table. This is what you show the user.
--json— raw payload. Use when the user asks a follow-up you need to compute from (per-service totals, month-over-month comparisons, "what changed").--check— credentials smoke test, no cost data.--provider aws— limit to one provider (aws,azure, orgcp).
Presenting the result
Show the output and stop. The user wants numbers, not narration. Do not restate figures that are already on screen, do not summarise the table back, do not add a preamble. The script emits facts only — no runway estimates, no burn rate, no thresholds, no verdicts — and that terseness is deliberate at both layers.
Add at most one line underneath, and only when something genuinely warrants it:
cash> $0 in any month — credits ran short and real money was charged.- A month far outside the others — an outlier against the baseline. Name the
service responsible from
by_service_90d. warningfield set — e.g.credits_as_ofpredates billing-data retention, so the balance may be overstated.
Otherwise say nothing. Refunds and tax in other are already marked inline in the
table and need no comment.
Never invent a runway figure unless asked. If asked, give a range and state the assumption — burn is volatile.
Config
~/.runway/config.yaml, mode 600. Holds credentials plus, per provider:
credits (grant total), credits_as_of (the date that figure was true), expires.
credits_as_of is load-bearing: remaining is computed as
credits − drawdown since credits_as_of. Getting it wrong silently produces a
wrong balance. No cloud exposes a remaining-credit balance via API, so credits
and expires are typed in from the console's Credits page. If the user says their
grant changed, update that file rather than adjusting numbers by hand.
Setup / adding a provider
Per-provider walkthroughs live in {{RUNWAY_REPO}}/docs/setup/ (aws.md, azure.md,
gcp.md). If the user wants to hook up a new cloud account, follow the relevant doc
step by step. Providers render as not configured until enabled and never block
the others.
Errors
Failures are per-provider and never abort the run. Known causes are reported with a hint attached. Secrets are scrubbed from all error output — keep it that way.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

