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 agentmods add commands/hwyd/ai-mind/speckit.agent-context.updategit clone --depth 1 https://github.com/HWYD/ai-mindWrote 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/commands/hwyd/ai-mind/speckit.agent-context.update)<a href="https://agentmods.dev/commands/hwyd/ai-mind/speckit.agent-context.update"><img src="https://agentmods.dev/badge/commands/hwyd/ai-mind/speckit.agent-context.update.svg" alt="Measured on agentmods" 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 | $0.00013 | $0.00361 |
| Opus 5 | $0.00006 | $0.00180 |
| Sonnet 5 | $0.00003 | $0.00072 |
| Haiku 4.5 | $0.00001 | $0.00036 |
Grade A, and why
speckit.agent-context.update 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.
This is a copy
89% identical to speckit.agent-context.update — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Update Coding Agent Context
Refresh the managed Spec Kit section inside the active coding agent's context/instruction file (e.g. CLAUDE.md, .github/copilot-instructions.md, AGENTS.md).
Behavior
The script reads the agent-context extension config at
.specify/extensions/agent-context/agent-context-config.yml to discover:
context_file— the path of the coding agent context file to manage.context_files— optional project-relative paths for multiple coding agent context files. When non-empty, the script updates each listed file and the list takes precedence overcontext_file.context_markers.start/.end— the delimiters surrounding the managed section. Defaults to<!-- SPECKIT START -->and<!-- SPECKIT END -->when the field is missing.
It then creates, replaces, or appends the managed block so that the section points at the most recent plan path when one can be discovered (specs/<feature>/plan.md).
If context_files and context_file are empty, the command reports nothing to do and exits successfully. Context file paths must stay project-relative; absolute paths, Windows drive paths, backslash separators, and .. path segments are rejected.
Execution
- Bash:
.specify/extensions/agent-context/scripts/bash/update-agent-context.sh [plan_path] - PowerShell:
.specify/extensions/agent-context/scripts/powershell/update-agent-context.ps1 [plan_path]
When plan_path is omitted, the script auto-detects the most recently modified specs/*/plan.md.
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 · 28 lines · 13 tokens per session scan A 2c0411ef4432
speckit.agent-context.update is a command published in the GitHub repository HWYD/ai-mind (19 stars, last pushed 4d ago), licensed MIT. It adds 13 tokens to every session and 361 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to speckit.agent-context.update, differing in 6 lines, and is treated as a copy.
Other commands, from other repositories
verify
Run the full verification suite (build, type-check, tests, lint) via a fresh-context verification-runner subagent; reports evidence paths. Read-only by default; opt-in '--fix' runs a bounded auto-fix loop (max 2 cycles). Use before marking featurelist.json status as 'pass'.
design-for-scale
Plan scaling strategy for growth. Model infrastructure and cost implications.
trade-off-matrix
Compare design options systematically using weighted decision matrix.
cf-run
Run the context-firewall workflow: split inputs, invoke FileWorkers, aggregate into SubResult.v1.
devloop
启动或恢复 devloop 工作流（创建分支 → 修复 → 提交 → PR → 等待 AI 审查 → 应用评论 → 重复）。.
checklist
Generate a custom checklist for the current feature based on user requirements.