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 FramY2/ctxwise --skill ctxwisegit clone --depth 1 https://github.com/FramY2/ctxwiseWrote 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/framy2/ctxwise/ctxwise)<a href="https://agentmods.dev/skills/framy2/ctxwise/ctxwise"><img src="https://agentmods.dev/badge/skills/framy2/ctxwise/ctxwise/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/framy2/ctxwise/ctxwise"><img src="https://agentmods.dev/badge/skills/framy2/ctxwise/ctxwise.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 | $0.00092 | $0.00818 |
| Opus 5.5 | $0.00037 | $0.00327 |
| Sonnet 5.5 | $0.00018 | $0.00164 |
| Haiku 4.5 | $0.00009 | $0.00082 |
Grade A, and why
ctxwise 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CtxWise
Use the installed ctxwise CLI. Keep diagnostics local and distinguish exact,
estimated, and unknown measurements.
Workflow
- Run
ctxwise doctorwhen availability is uncertain. - Select the narrowest command:
ctxwise agentsfor multi-agent context startup tokens and parity across Claude Code (CLAUDE.md), OpenAI Codex (AGENTS.md), and Cursor.ctxwise sync --compressto synchronizeAGENTS.md↔CLAUDE.md↔.cursor/ruleswith deterministic Token Diet compression.ctxwise mcp-xray --probe-stdioto rank MCP server tool schemas by token weight and spot bloated schemas.ctxwise shield --fail-on-riskto scan context files and skills for leaked API keys, prompt injection, and hidden Unicode.ctxwise presetto list or apply curated stack budgets and guidance templates.ctxwise snapshotfor an immediate ranked context health check and safe next actions.ctxwise budget --max-known-tokens 4000to check an explicit estimated context threshold; add--fail-on-exceedonly for an intentional CI gate.ctxwise audit --jsonfor config, guidance, skills, agents, and MCP inventory.ctxwise map --out ctxwise-context.mmdfor a local visual context map.ctxwise xray <prompt-input.json> --jsonfor a privacy-safe prompt breakdown.ctxwise profile <policy.yaml> --dry-runbefore staging or installing profiles.ctxwise lockfor a redacted, hash-based reproducibility manifest.ctxwise drift --fail-on-driftto detect unreviewed context changes locally or in CI.ctxwise quota --jsonfor the current local plan and rate-limit snapshot.ctxwise run --receipt --prompt-xray "<prompt>"for a final-answer receipt with an estimated pre-turn prompt size.
- Explain findings before changing configuration.
- Use
ctxwise profile ... --installonly when the user explicitly requests the install; report the backup path.
Cost rules
- API-key mode may show a dated token-based charge estimate.
- ChatGPT subscription mode shows tokens, credit equivalent, and quota when available. Do not call included usage a dollar charge.
- Add
--api-equivalentonly when the user asks for the comparison. Preserve the labelcomparison only; not charged. - Keep missing values as
unknown; never replace them with zero. - Treat budget totals as estimated known startup context, not an exact context
window. Use
unknown: failonly when unmeasured surfaces must block CI. - Keep aggregate turn input separate from prompt-window occupancy.
- Do not claim savings without a comparable, quality-passing baseline.
What ships with it
1 file 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.
- 2d ago Changed · +5 lines 419eebf6332a
- 19d ago Changed · +4 lines · +8 tokens per session 81cf31a53875
- 1mo ago First seen · 49 lines · 84 tokens per session scan A 0752483c2ecf
ctxwise is a skill published in the GitHub repository FramY2/ctxwise (7 stars, last pushed 2d ago), licensed Apache-2.0. It adds 92 tokens to every session and 818 once invoked, about $0.0004 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
boss-briefing
Vault health check — workflow pattern analysis, profile sync, session gap recovery, persona rule proposals.
briefing-vault
Initialize, manage, and search the per-project .briefing/ vault. Obsidian-compatible persistent knowledge base.
compact-kb
Use only when user explicitly invokes $compact-kb.
maintain-codex-wiki
Maintain a review-first Markdown knowledge base for Codex practices with source provenance, engineering capture, citation-aware queries, explicit archive and promotion, and deterministic linting. Use when asked to capture a durable engineering lesson, ingest Codex research, query or archive what the repository knows…
recap
Summarize the last N agent sessions for the current project, grouped by date, with highlight observations per session. Use when the user asks "recap", "what have we been doing", "today", "this week", or wants a rollup of recent work.
productivity-memory
Two-tier memory system that makes the AI a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so the AI understands requests like a colleague would. Uses CONTEXT.md for working memory and a memory/ directory for the full knowledge base.