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 restarter/lets-workflow --skill agent-reportgit clone --depth 1 https://github.com/restarter/lets-workflowWrote 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/restarter/lets-workflow/agent-report)<a href="https://agentmods.dev/skills/restarter/lets-workflow/agent-report"><img src="https://agentmods.dev/badge/skills/restarter/lets-workflow/agent-report/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/restarter/lets-workflow/agent-report"><img src="https://agentmods.dev/badge/skills/restarter/lets-workflow/agent-report.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 | $0.00054 | $0.02775 |
| Opus 5.5 | $0.00022 | $0.01110 |
| Sonnet 5.5 | $0.00011 | $0.00555 |
| Haiku 4.5 | $0.00005 | $0.00278 |
Grade A, and why
agent-report 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.
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Report
A Task agent's final text is a lossy channel: it arrives empty or cut near 4 KB, and an empty result reads exactly like "no findings" (lets-1irms). Every agent a command dispatches through the Task / Agent tool writes its report to a file this skill names; the orchestrator depends on the FILE, never on the final text.
Files are INPUT, never the deliverable. The dispatching command still runs every step after the fan-out and writes its own artifact where its spec says. Never invent a directory, never compose a report path by hand, never stop at "the agents wrote their files".
op=open - before the first dispatch of a run
Args: command=<review|opinion|ask|plan|backlog|research|team> names=<name>,<name> [task=<task-id>].
Skill(skill: "lets:artifact-path", args: "kind=reports-{command} ext=dir task={task-id}")->REPORT_DIR= the echoedARTIFACT_FILE(a directory, already created). No echo -> STOP: dispatch nothing, surface the error.- One file per dispatched agent:
{REPORT_DIR}/{name}.md.nameis the caller's - the agent short name (security), suffixed when one agent type runs several times in the run (skeptic-f3-2,architect-b).[a-z0-9.-]only (a beads id may carry.N), unique within the run. A name never starts withreport,summary,findingsoranalysis(any case): Claude Code's Write tool refuses a subagent's.mdwhose basename starts with one of them, and the report is lost (lets-jyjxc). A name never ends in-r<digits>: that suffix is Step 3's retry.reportnames_test.gopins both for every template in the plugin. - Output
REPORT_DIR=<dir>and oneREPORT_FILE <name>=<path>line per name.
Every dispatch prompt carries its agent's path as its own line, right after the PROJECT_ROOT line (or first, when the prompt has none):
REPORT_FILE: <absolute path>
op=add - a later phase of the same run
Args: dir=<REPORT_DIR> names=<name>,<name>. Same naming as op=open step 2 in the SAME directory - one run keeps one directory (review: reviewers, then skeptics; opinion: panel, then challenge; plan: explorers, architects, experts). No artifact-path call. Run as written:
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 Changed · +22 lines 7ab84ed78f97
- 20d ago First seen · 89 lines · 54 tokens per session scan A a169c335e043
agent-report is a skill published in the GitHub repository restarter/lets-workflow (17 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 2,775 once invoked, about $0.0002 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 2026-09-27.
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