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 pproenca/dot-skills --skill codex-goalsgit clone --depth 1 https://github.com/pproenca/dot-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/pproenca/dot-skills/codex-goals)<a href="https://agentmods.dev/skills/pproenca/dot-skills/codex-goals"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/codex-goals/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/pproenca/dot-skills/codex-goals"><img src="https://agentmods.dev/badge/skills/pproenca/dot-skills/codex-goals.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00164 | $0.02003 |
| Opus 5 | $0.00082 | $0.01001 |
| Sonnet 5 | $0.00033 | $0.00401 |
| Haiku 4.5 | $0.00016 | $0.00200 |
Grade A, and why
codex-goals 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 5d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenAI Codex Goals Best Practices
Reference for writing and managing Codex Goals — the persistent objective feature introduced in Codex 0.128.0. "Best practices" here means the patterns and anti-patterns that determine whether a Goal completes against the right evidence vs. silently against the wrong surface. Contains 31 rules across 8 categories, ordered by how much they affect whether a Goal completes correctly. Derived from the official OpenAI cookbook article "Using Goals in Codex".
When to Apply
Reference these guidelines when:
- Deciding whether a task warrants a
/goalor a normal prompt - Drafting or strengthening a
/goalinvocation - Reviewing a Goal someone else wrote before activating it
- Debugging a Goal that completed against the wrong verification surface
- Setting up a research Goal where exact proof may not be available
- Managing Goal lifecycle (pause, resume, clear) across thread sessions
- Writing the iteration policy or blocked stop condition for a long-running Goal
- Diagnosing a Goal that hit its budget without completing
Rule Categories by Priority
| Priority | Category | Impact (worst rule) | Prefix |
|---|---|---|---|
| 1 | Goal Fit Decisions | CRITICAL | fit- |
| 2 | Outcome Definition | CRITICAL / HIGH | outcome- |
| 3 | Verification Surface | CRITICAL / HIGH | verify- |
| 4 | Boundaries & Iteration | HIGH | bound- |
| 5 | Lifecycle Commands | HIGH | life- |
| 6 | Evidence-Based Completion | HIGH | evidence- |
| 7 | Crafting Strong Goals | MEDIUM | craft- |
| 8 | Research Goals & Anti-Patterns | MEDIUM | research- |
Individual rule impacts are listed inline in the per-rule frontmatter.
Quick Reference
1. Goal Fit Decisions (CRITICAL)
fit-when-to-use— Use a Goal When the Finish Line Is Clear but the Path Is Uncertainfit-three-required-properties— Require Three Properties Before Setting a Goal — Durable Objective, Evidence Finish Line, Multi-Turn Pathfit-prompt-vs-goal— Choose a Prompt for Single-Turn Work, a Goal for Outcome-Driven Continuationfit-skip-for-vague-targets— Skip a Goal When the Finish Line Is Vague
What ships with it
36 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.
- AGENTS.md 9.1 KB
- assets/templates/_template.md 861 B
- gotchas.md 212 B
- metadata.json 913 B
- references/_sections.md 2.9 KB
- references/bound-blocked-stop-condition.md 2.3 KB
- references/bound-iteration-policy.md 2.3 KB
- references/bound-respect-budget.md 2.3 KB
- references/bound-tools-and-files.md 2.0 KB
- references/craft-let-codex-draft-it.md 2.7 KB
- references/craft-six-components.md 2.8 KB
- references/craft-strengthen-weak-goals.md 2.3 KB
- references/craft-template-pattern.md 2.5 KB
- references/evidence-audit-before-completion.md 2.3 KB
- references/evidence-budget-is-not-completion.md 2.4 KB
- references/evidence-honest-blockers.md 2.6 KB
- references/fit-prompt-vs-goal.md 2.1 KB
- references/fit-skip-for-vague-targets.md 2.0 KB
- references/fit-three-required-properties.md 2.3 KB
- references/fit-when-to-use.md 2.1 KB
- references/life-clear-stale-goals.md 2.2 KB
- references/life-inspect-with-slash-goal.md 1.9 KB
- references/life-pause-during-detours.md 2.1 KB
- references/life-set-with-slash-goal.md 2.4 KB
- references/outcome-measurable-end-state.md 1.7 KB
- references/outcome-name-the-artifact.md 1.9 KB
- references/outcome-narrow-but-discoverable.md 2.0 KB
- references/outcome-quantify-thresholds.md 1.7 KB
- references/research-anti-patterns.md 3.2 KB
- references/research-build-claim-inventory.md 2.7 KB
- references/research-define-evidence-standard-first.md 2.8 KB
- references/research-preserve-epistemic-ledger.md 2.9 KB
- references/verify-include-constraints.md 1.9 KB
- references/verify-multiple-checks-when-needed.md 2.3 KB
- references/verify-name-the-surface.md 1.9 KB
- references/verify-surface-must-be-runnable.md 2.2 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.
- 5d ago First seen · 116 lines · 164 tokens per session scan A 6ac718be272f
codex-goals is a skill published in the GitHub repository pproenca/dot-skills (205 stars, last pushed 24d ago), licensed MIT. It adds 164 tokens to every session and 2,003 once invoked, about $0.0008 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 2026-09-03.
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