Borrowing it
Nothing to install: this file belongs to ashishpatill/tell-proof. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ashishpatill/tell-proof/master/.cursor/skills/agency-run-learn/SKILL.mdgit clone --depth 1 https://github.com/ashishpatill/tell-proofWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ashishpatill/tell-proof/agency-run-learn)<a href="https://agentmods.dev/skills/ashishpatill/tell-proof/agency-run-learn"><img src="https://agentmods.dev/badge/skills/ashishpatill/tell-proof/agency-run-learn/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ashishpatill/tell-proof/agency-run-learn"><img src="https://agentmods.dev/badge/skills/ashishpatill/tell-proof/agency-run-learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00036 | $0.00427 |
| Opus 5.5 | $0.00014 | $0.00171 |
| Sonnet 5.5 | $0.00007 | $0.00085 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
agency-run-learn 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 1mo 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.
What it actually says
agency-run-learn
Developer / maintainer loop. Each agency:run on a workstation with a design-data
pointer ends with learn → agency-engine-memory.json + LEARNINGS.md (+ write-back).
Not for Ashish's browser. His preferences use tell-user-session-learn.
| Loop | Skill | Where |
|---|---|---|
| Dev corpus + pipeline | agency-run-learn |
research/*, design-data checkout |
| User sessions | tell-user-session-learn |
localStorage tell:user-design-profile |
Automatic on pnpm agency:run and --mark-pass 4-ship. Opt out: AGENCY_SKIP_LEARN=1.
Dev corpus itself requires research/design-data.local.json or TELL_DESIGN_DATA + TELL_DEV_CORPUS=1.
Hard rules
- Learn is automatic on agency runs — do not schedule a separate agent step.
- Never enable design-data pull/write-back on public demos (
VERCEL/TELL_PUBLIC_DEMO). - Do not weaken gates to make a run green.
- No third-party hosts in Tell commits.
- Do not store end-user profiles in the design-data repo.
Commands
pnpm agency:run -- --query "<requirement>" --fresh # learn automatic
pnpm agency:learn -- --run-id <id> # re-learn only
AGENCY_SKIP_LEARN=1 pnpm agency:run -- --query "…" # dry smoke
Related
research/design-data.README.md— developer corpus wiringtell-user-session-learn— per-user product learningagency-quality-site— phased craft + autonomous run
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.
- 1mo ago First seen · 42 lines · 36 tokens per session scan A d3359d84f5bc
agency-run-learn is a skill published in the GitHub repository ashishpatill/tell-proof (2 stars, last pushed 22d ago), licensed MIT. It adds 36 tokens to every session and 427 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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