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 arozumenko/sdlc-skills --skill tokenomicsgit clone --depth 1 https://github.com/arozumenko/sdlc-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/arozumenko/sdlc-skills/tokenomics)<a href="https://agentmods.dev/skills/arozumenko/sdlc-skills/tokenomics"><img src="https://agentmods.dev/badge/skills/arozumenko/sdlc-skills/tokenomics/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/arozumenko/sdlc-skills/tokenomics"><img src="https://agentmods.dev/badge/skills/arozumenko/sdlc-skills/tokenomics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Rogue Agent · line 187 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium MCP Rug Pull · line 356 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00177 | $0.06789 |
| Opus 5 | $0.00088 | $0.03395 |
| Sonnet 5 | $0.00035 | $0.01358 |
| Haiku 4.5 | $0.00018 | $0.00679 |
Grade A, and why
tokenomics 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 9d 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 — 437 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tokenomics — durable team usage telemetry
The efficiency-audit skill answers "what did this
cost" by reading live transcripts — precise, but transcripts expire
(~30 days) and live on each engineer's machine, so the answer is only available
to whoever runs it, soon enough, where the work happened.
This skill closes that gap with a capture layer: an optionally-enabled hook
that writes one JSON line per finished session into a git-committed ledger
(.agents/telemetry/automation/usage-<user>.jsonl). Ledger lines are grounded in the same
sources efficiency-audit trusts (transcript token records, ccusage dollars,
Copilot's billed credits) but are captured at the moment they exist — so the
team's usage history survives transcript cleanup and accumulates through
ordinary git push/pull. A report script then answers: how much time, tokens
and money did the team spend, and how many cases did it automate.
Installing this skill does NOT start capturing. Telemetry activates only when someone runs the install script below — that's the opt-in.
Updating an old install: re-run the same script. It is idempotent and also
migrates the flat-era layout — usage-*.jsonl, scopes/, live/,
config.json sitting at the telemetry ROOT move into automation/
automatically (readers look only there; un-migrated history would silently
drop out of every report). Same-named newer data in automation/ wins —
nothing is ever clobbered.
Quick start
# 1. Enable capture in this repo (all three hosts; idempotent; --remove undoes it)
node .claude/skills/tokenomics/scripts/install-hooks.mjs # Claude-installed copy
node .github/skills/tokenomics/scripts/install-hooks.mjs # Copilot-installed copy
# --host claude|copilot|vscode default wires Claude hooks + the Copilot hooks
# file. `vscode` is OPT-IN (a folderOpen task in
# shared .vscode/tasks.json; VS Code asks each
# teammate once to allow auto-tasks) — every sweep
# already walks the sidebar store, so it is only
# needed in a SIDEBAR-ONLY repo. --remove strips
# it either way.
# --local Claude only: settings.local.json (just you, not the team)
# --git-hook optional belt-and-braces: a background post-commit sweep
# --doctor health-check wiring, stores, ccusage, OTel flow (--fix starts the sink)
# --otel [--endpoint URL] opt into OpenTelemetry (see below); --otel-remove undoes
# 2. Backfill what's still on this machine (optional, one-time)
node .claude/skills/tokenomics/hooks/telemetry-capture.mjs --sweep --all
# 3. One commit to main (the installer prints it): registers the telemetry
# submodule. From then on hooks commit+push the records to the `telemetry`
# branch automatically — nobody hand-commits telemetry again.
# Teammates: git clone --recurse-submodules
# 4. The report — one repo or several, a window, markdown / JSON / HTML
node .claude/skills/tokenomics/scripts/install-hooks.mjs --pull # merge the team's pushes first
node .claude/skills/tokenomics/scripts/team-report.mjs
node .claude/skills/tokenomics/scripts/team-report.mjs ~/work/repoA ~/work/repoB --since 2026-08-01 --json
node .claude/skills/tokenomics/scripts/team-report.mjs --html --out team.html # shareable self-contained page
node .claude/skills/tokenomics/scripts/team-report.mjs --role test-automation-engineer # sessions involving that agent
# 5. Per-batch cost — what a batch delivered and what it cost, per case
node .claude/skills/tokenomics/scripts/team-report.mjs --batch <slug> # markdown
node .claude/skills/tokenomics/scripts/team-report.mjs --batch <slug> --html --out batch.html
node .claude/skills/tokenomics/scripts/team-report.mjs --batches # every batch with a receipt
# 6. Hyperfactory dataset export — one submission row per batch
# identity comes from .agents/telemetry/automation/factory-profile.json (copy
# templates/factory-profile.template.json there and fill it in once);
# every `work-scope.mjs close` ALSO auto-appends the batch's row to
# .agents/telemetry/automation/export/runs.json and prints the §7 checks
node .claude/skills/tokenomics/scripts/build-tokenomics-export.mjs --batch <slug> # build/refresh one row + print its checks
node .claude/skills/tokenomics/scripts/build-tokenomics-export.mjs --submission # datasets/<factory-id>/{runs.json,submission.md} + § 7 checklist status
node .claude/skills/tokenomics/scripts/build-tokenomics-export.mjs --submission --anon # same, identifiers anonymized (T-WI-###) for the public PR
node .claude/skills/tokenomics/scripts/build-tokenomics-export.mjs --compare a/cost.json b/cost.json
What ships with it
20 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.
- hooks/otel-sink.mjs 4.1 KB runs code
- hooks/otel-sink.test.mjs 3.5 KB runs code
- hooks/scope-hook.mjs 11 KB runs code
- hooks/scope-hook.test.mjs 6.7 KB runs code
- hooks/telemetry-capture.mjs 73 KB runs code
- hooks/telemetry-capture.test.mjs 48 KB runs code
- README.md 9.3 KB
- references/otel-roadmap.md 14 KB
- scripts/batch-cost.mjs 42 KB runs code
- scripts/batch-cost.test.mjs 38 KB runs code
- scripts/build-tokenomics-export.mjs 19 KB runs code
- scripts/install-hooks.mjs 40 KB runs code
- scripts/install-hooks.test.mjs 15 KB runs code
- scripts/otel-report.mjs 8.0 KB runs code
- scripts/otel-report.test.mjs 3.8 KB runs code
- scripts/team-report.mjs 66 KB runs code
- scripts/team-report.test.mjs 12 KB runs code
- scripts/work-scope.mjs 18 KB runs code
- scripts/work-scope.test.mjs 8.8 KB runs code
- templates/factory-profile.template.json 1.2 KB
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.
- 9d ago First seen · 437 lines · 177 tokens per session scan A 29651dc22e5b
tokenomics is a skill published in the GitHub repository arozumenko/sdlc-skills (20 stars, last pushed 4d ago), licensed MIT. It adds 177 tokens to every session and 6,789 once invoked, about $0.0009 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 2026-08-30.
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