Borrowing it
Nothing to install: this file belongs to takuyaw-w/a5sql-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/takuyaw-w/a5sql-mcp/main/.agents/skills/ctx-agent-history-search/SKILL.mdgit clone --depth 1 https://github.com/takuyaw-w/a5sql-mcpWrote 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/takuyaw-w/a5sql-mcp/ctx-agent-history-search)<a href="https://agentmods.dev/skills/takuyaw-w/a5sql-mcp/ctx-agent-history-search"><img src="https://agentmods.dev/badge/skills/takuyaw-w/a5sql-mcp/ctx-agent-history-search/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/takuyaw-w/a5sql-mcp/ctx-agent-history-search"><img src="https://agentmods.dev/badge/skills/takuyaw-w/a5sql-mcp/ctx-agent-history-search.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 | $0.00034 | $0.01751 |
| Opus 5 | $0.00017 | $0.00875 |
| Sonnet 5 | $0.00007 | $0.00350 |
| Haiku 4.5 | $0.00003 | $0.00175 |
Grade C, and why
ctx-agent-history-search scanned grade C with 2 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 11d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://ctx.rs/install | sh Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://ctx.rs/install | sh How it starts
The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ctx Agent History Search
Use ctx whenever you need to reference previous coding-agent sessions. Those transcripts can contain user intent, decisions, previous work timelines, past attempts, and what worked or failed.
Use this skill in two modes:
- retrieval before work, when prior sessions may contain decisions, commands, failures, or source citations that affect the current task;
- history research reports, when the user asks an agent or read-only subagent to research a historical topic across prior local agent sessions.
Prerequisites
-
Require the
ctxCLI to be installed and set up. If it is missing and installing tools is appropriate for the task, install it with:curl -fsSL https://ctx.rs/install | sh -
First setup can take time while ctx indexes past sessions. If needed, keep it running in the background or in tmux, or wait for it to finish.
-
If ctx remains unavailable, say local history search is unavailable and do not invent results.
Workflow
-
Confirm ctx is ready when starting from a cold context:
ctx status ctx sourcesUse
ctx status --jsonorctx sources --jsononly when a script needs exact fields. -
Search with normal language first. Add terms or filters when useful:
ctx search "<query>" ctx search "<query>" --refresh off ctx search "<query>" --provider codex ctx search "<query>" --workspace <workspace> ctx search "<query>" --file <path> ctx search "<query>" --since 30d ctx search "<query>" --term "<related term>" --term "<error text>" ctx search "<query>" --session <ctx-session-id> ctx search "<query>" --verboseUse default text output for agent reading. Do not add
--jsonfor search, show, or locate unless you are piping it intojqor a script, or you need exact machine-readable fields. JSON output is much larger and can quickly consume the context window.When the prompt asks for a topic history or report across multiple sessions, run several
ctx searchqueries with different wording and filters to find promising sessions. Use scopedctx search "<query>" --session <ctx-session-id>when a session looks relevant and you need dense event-level matches from that session.
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.
- 11d ago First seen · 206 lines · 34 tokens per session scan C b374433f7b64
ctx-agent-history-search is a skill published in the GitHub repository takuyaw-w/a5sql-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 34 tokens to every session and 1,751 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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