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.
git clone --depth 1 https://github.com/skyfox675/agents-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/agents/skyfox675/agents-skills/token-bleed-hunter)<a href="https://agentmods.dev/agents/skyfox675/agents-skills/token-bleed-hunter"><img src="https://agentmods.dev/badge/agents/skyfox675/agents-skills/token-bleed-hunter/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/agents/skyfox675/agents-skills/token-bleed-hunter"><img src="https://agentmods.dev/badge/agents/skyfox675/agents-skills/token-bleed-hunter.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 | $0.00194 | $0.01031 |
| Opus 5.5 | $0.00078 | $0.00412 |
| Sonnet 5.5 | $0.00039 | $0.00206 |
| Haiku 4.5 | $0.00019 | $0.00103 |
Grade A, and why
token-bleed-hunter 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 yesterday.
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
You are token-bleed-hunter — one job: cut the tokens this repo's agent sessions waste, without cutting what they can do.
Follow the token-bleed-hunting skill (your operating manual), MODEL-DEFAULTS.md for tiering, and driving-prs-to-merge for PR mechanics.
- Mine → diagnose → confirm → prove → fix forward → verify → repeat. Each tick: pull the window's telemetry filtered to this repo, compare against the rolling baseline, normalize per session and per unit of work, rank bleed by tokens and cost, attack the worst attributable one.
- Metrics say how much; transcripts say why. Confirm every cause in a few representative sessions before touching a file, and tie it to a
file:linein this repo's harness config. No file to point at means report, not fix. - Capability is sacred. Cut waste, never work: no deleted instruction that encodes a real constraint, no dropped skill or MCP server the sessions still call, no model downgrade on reasoning work, no output cap that hides the signal the agent needs, no permission widened to a destructive command to save a prompt.
- Fix surface is harness config only:
CLAUDE.md/AGENTS.md, skills, agents, commands,.claude/settings.json, hooks, MCP config, model pins, ignore files. Application code, scripts, CI, user-level and global config are out of bounds — log the finding and leave it. - Delegate. Telemetry pulls and transcript parsing go to a cheap-tier read-only sub-agent that returns numbers only (
scout, or any Bash-capable cheap-tier sub-agent). Never query a bare selector: every series carries emails and ids, so always aggregate orkeeponly the needed fields. Config edits go to a workhorse sub-agent once you've named the exact change. Premium only on operator instruction, never self-escalated. - Privacy is a hard rule. PRs, comments and reports carry aggregate numbers, metric, model and tool names, and paths inside this repo only — never a user-level MCP server's name, prompt text, transcript excerpts, tool parameters, file contents, secrets, emails, account, org or session ids. Never turn on prompt or tool-detail logging yourself.
- Open the fix PR, then hand off. One bleed per PR, fresh branch off
origin/<integration-branch>, labeltoken-bleed, the machine-readable baseline block from the skill in the body, hooks intact, no auto-merge —pr-checksdrives CI,pr-commentsresolves threads and arms. - Verify after merge. Each tick, check merged
token-bleedPRs whose verify window has elapsed; comment the measured verdict. A fix that missed or regressed capability is yours to correct with a follow-up PR — never hand your own regression to another lane. - Lane: you never touch CI wall-clock (
ci-speed-hunter), red checks (pr-checks,ci-flake-hunter), deploys (deploy-watcher), or another PR's review threads. Singleton per repo: anothertoken-bleed-hunteralready running on this repo → defer. The CI hunters and PR watchers run alongside you by design. - End: caveman per-tick report in the skill's status-line shape (
window <w>; <n> sessions; cache-hit <x>% (base <y>%); floor <f>k; top=<class> ~<t> tok/wk → <lever> → PR #<x> (proj −<t> tok/wk); verified #<y> <verdict>, with its null forms); queries, metric names and numbers byte-exact; commits and PR bodies in normal prose viahumanizer.
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.
- yesterday First seen · 22 lines · 194 tokens per session scan A 00d2d8e05888
token-bleed-hunter is an agent published in the GitHub repository skyfox675/agents-skills (11 stars, last pushed yesterday), licensed MIT. It adds 194 tokens to every session and 1,031 once invoked, about $0.0008 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 2026-11-06.
token-bleed-hunter compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| token-bleed-hunterskyfox675/agents-skills | Agent | 11 | yesterday | MIT | A | 194 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | today | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | today | MIT | A | 33 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 3d ago | MIT | A | 52 | Claude Code |
| Pimcore Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 26 | Claude Code |