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 skills add Abhillashjadhav/AI-PM-essential-skills --skill loop-designergit clone --depth 1 https://github.com/Abhillashjadhav/AI-PM-essential-skillsWrote 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/abhillashjadhav/ai-pm-essential-skills/loop-designer)<a href="https://agentmods.dev/skills/abhillashjadhav/ai-pm-essential-skills/loop-designer"><img src="https://agentmods.dev/badge/skills/abhillashjadhav/ai-pm-essential-skills/loop-designer/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/abhillashjadhav/ai-pm-essential-skills/loop-designer"><img src="https://agentmods.dev/badge/skills/abhillashjadhav/ai-pm-essential-skills/loop-designer.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 | $0.00226 | $0.01471 |
| Opus 5 | $0.00113 | $0.00736 |
| Sonnet 5 | $0.00045 | $0.00294 |
| Haiku 4.5 | $0.00023 | $0.00147 |
Grade A, and why
loop-designer 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Loop Designer
Turn a one-off task into a guarded autonomous loop: five explicit parts, five non-negotiable guardrails, two ready-to-paste artifacts. The architecture is generalized from a production daily-radar loop that has run live — see references/loop-anatomy.md for the anatomy and its provenance, references/guardrail-design.md for why each guardrail exists.
Step 0 — Verification first
Before designing anything, ask: what does a successful run look like, checkably? If the user's task has no verifiable success condition ("keep an eye on things", "make it better over time"), stop and help define one — a file that exists with required fields, a count within bounds, a claim with a source link. No verifiable condition, no loop: an unverifiable loop is an unattended failure generator.
Step 1 — Minimal interview
Ask only what the request didn't already say (one message, not a questionnaire):
- Goal — the checkable success condition from Step 0.
- Sources/inputs — what each run scans or consumes (URLs, repos, folders, APIs).
- Output destination — where results land (file path pattern, branch, email, issue).
- Schedule — cron-style cadence, or event-driven.
Step 2 — Generate the loop spec (five parts, all explicit)
LOOP SPEC: <name>
DISCOVER — what each run scans, with recency/scope cutoffs stated
PLAN — how findings are filtered and decomposed: dedup against the seen-log
FIRST, then select/rank what survives (selection criteria explicit)
EXECUTE — the action, with exact output format and destination
VERIFY — a separate verifier checklist (3-6 binary checks) run AFTER execute;
the run only counts as successful if every check passes
STOP-OR-REPEAT — exit conditions: work exhausted, nothing new found (say so
honestly — an empty run writes "nothing new", never padding),
iteration cap hit, or ceiling hit
Rules for VERIFY:
- The verifier is a distinct step with its own checklist — never the executor grading its own output in the same breath. In a Routine, VERIFY is a separately-delimited checklist pass over the produced artifact; in a multi-agent setup, a separate agent.
- Checks must be binary and artifact-inspectable (file exists, fields present, every claim has a source link, item count within bounds, no seen-log duplicates in output).
- A failed check = failed run, reported as such — never silently shipped.
What ships with it
4 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.
- 11d ago First seen · 81 lines · 226 tokens per session scan A 5f07260ca8b7
loop-designer is a skill published in the GitHub repository Abhillashjadhav/AI-PM-essential-skills (3 stars, last pushed 9d ago), licensed MIT. It adds 226 tokens to every session and 1,471 once invoked, about $0.0011 per session on Opus 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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