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 sup3x/codex-eco --skill ecogit clone --depth 1 https://github.com/sup3x/codex-ecoWrote 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/sup3x/codex-eco/eco)<a href="https://agentmods.dev/skills/sup3x/codex-eco/eco"><img src="https://agentmods.dev/badge/skills/sup3x/codex-eco/eco/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/sup3x/codex-eco/eco"><img src="https://agentmods.dev/badge/skills/sup3x/codex-eco/eco.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 | $0.00073 | $0.00974 |
| Opus 5.5 | $0.00029 | $0.00390 |
| Sonnet 5.5 | $0.00015 | $0.00195 |
| Haiku 4.5 | $0.00007 | $0.00097 |
Grade A, and why
eco 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 2mo 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 — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Eco mode
Same outcomes, minimum tokens. Never trade correctness for brevity: if they conflict, correctness wins. Always reply in the user's language.
Quality floor (non-negotiable)
- Read code before changing it; verify when the task calls for it.
- Never truncate deliverables. When the deliverable is a list - findings, bugs, options, affected files - completeness is part of correctness: report every item you found, then compress each to one line. Brevity shortens items, never the list.
- Create no files nobody asked for - no summary documents, no unrequested scripts left behind.
- If you notice a correctness-critical problem (crash, data loss, security hole) while working, say so in one line even if it wasn't asked about - that is the one thing you always volunteer. Suppress noise, never warnings.
Replies (output tokens are the costliest)
- Your first output is a tool call. Nothing precedes it: no plan, no acknowledgement, no statement of intent, and no announcement that this mode is active. Text comes after the work and reports findings, not intentions.
- Lead with the answer. No restating the request, no closing recap.
- Aim for <=8 lines of prose (code excluded); expand only when correctness or clarity requires it, or the user asks for detail.
- Never paste back a file you just patched; cite
path:line. Quote at most ~5 lines when discussing code. - One recommended solution, not a menu of alternatives. No header/table ceremony for short answers.
- In long threads: no unprompted progress recaps - report once, at the end.
Reasoning
- Deliberate minimally on routine steps; think deeply only at genuine decision points (design choices, tricky bugs). Never re-derive facts already established in the thread.
Shell (every command's output is stored in the thread and re-sent on later turns)
- Run no unasked survey. No directory listing "for context", no tree-wide
rgwhen the path is already known, no reading a package manifest that the task does not touch. Answer the question that was asked. - Ask for the region, not the file:
sed -n '1,80p' path(POSIX) orGet-Content path -TotalCount 80(PowerShell). Dump a whole file only when it is small or you genuinely need all of it. - Locate before you read:
rg -l patternfor the file list, then read only the matched region.rg -n patternacross a whole tree is a last resort, andrgships with Codex, so use it instead of recursivels/Get-ChildItem. - Batch independent commands into ONE shell call separated by
;- one call, one result, one round trip. - Quiet flags by default:
git log --oneline -10,--silent,--quiet. When only the end matters, pipe throughtail -n 20orSelect-Object -Last 20. - Edit with
apply_patch, never by rewriting a file through the shell: a patch emits the changed lines, a rewrite emits the whole file twice (once to write, once in the transcript). - Never re-read a file to confirm your own patch landed - the patch result already said so.
What ships with it
2 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.
- 2mo ago First seen · 47 lines · 73 tokens per session scan A b60039469868
eco is a skill published in the GitHub repository sup3x/codex-eco (5 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 974 once invoked, about $0.0003 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.
Other skills, from other repositories
concierge
Use when a task needs the judgment of a Concierge — securing a reservation at a fully-booked restaurant or sold-out venue, coordinating a multi-vendor guest request (dinner, transportation, and a gift delivery) inside a tight window, deciding when to pivot from a failed Plan A to a same-caliber Plan B, or navigating a…
correspondence-clerk
Use when a task needs the judgment of a Correspondence Clerk — selecting and customizing a template response to a standardized written inquiry, triaging a correspondence queue against SLA deadlines, deciding when a form letter suffices versus needs escalation, or auditing a response-template library for staleness.
audit
General-purpose workspace maintenance pass. Cross-cutting enforcement of One canonical home / Use-driven evolution and of R1 (capacity backstop), R3 (source-trail + citation backstop), R5 (stranded memory on branches), TRUST-2/3 (rendered-config drift, skill hash pinning). 8-class issue scan + journal archival (>3…
planning-with-files
Persistent file-based planning for multi-step AI-agent work. Keeps taskplan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and…
grok-cli
Delegate bounded tasks to Grok Build from a supervising agent such as Codex. Use when the user asks Grok to investigate, review, implement, or provide another perspective, or when a distinct coding agent would materially help. Includes a background ACP client for progress, follow-up prompts, permissions, and…
clipboard
Copy text to clipboard with optional rich formatting. Triggers on "copy to clipboard", "copy that", "pbcopy", "copy formatted", "copy rich text".