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 kimgoetzke/coding-agent-configs --skill update-plangit clone --depth 1 https://github.com/kimgoetzke/coding-agent-configsWrote 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/kimgoetzke/coding-agent-configs/update-plan)<a href="https://agentmods.dev/skills/kimgoetzke/coding-agent-configs/update-plan"><img src="https://agentmods.dev/badge/skills/kimgoetzke/coding-agent-configs/update-plan/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/kimgoetzke/coding-agent-configs/update-plan"><img src="https://agentmods.dev/badge/skills/kimgoetzke/coding-agent-configs/update-plan.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 | $0.00070 | $0.02043 |
| Opus 5.5 | $0.00028 | $0.00817 |
| Sonnet 5.5 | $0.00014 | $0.00409 |
| Haiku 4.5 | $0.00007 | $0.00204 |
Grade A, and why
update-plan 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Update Plan from User Responses
Process user responses in the questions document and update all related planning documents accordingly.
Prerequisites
- A plan created by the
planningorplanning-modeskills must already exist - For default (non-
ask) mode: the plan'squestionsdocument must contain at least one question with a non-empty### Responsesection - For
askmode: the plan'squestionsdocument must contain at least one unprocessed question (with or without a response)
Argument parsing
The skill takes a single optional argument:
- If the argument is the literal string
ask(case-insensitive, trimmed) → enable ask mode and locate the plan via the Phase 1 strategies below (plan is not specified separately). - If the argument is anything else → treat it as a plan name (existing behaviour).
- If the argument is empty → no mode flag and no plan name; fall through to the Phase 1 strategies.
ask is standalone — it cannot be combined with a plan name on the same invocation. If the user needs ask mode against a specific plan in a multi-plan repo, the Phase 1 multi-plan prompt will let them choose.
Throughout the rest of this skill, ask mode refers specifically to the case where the argument was ask.
Persistence
This skill belongs to the plans skill group. A persistence implementation decides where and how plans are stored. Before locating the plan, find the setting:
R="$(git rev-parse --show-toplevel 2>/dev/null)/.ai/config.properties"; { cat "$R" ~/.ai/config.properties | grep '^persistence\.plans[[:space:]]*=[[:space:]]*[^[:space:]]'; cat "$R" ~/.ai/config.properties | grep '^persistence[[:space:]]*=[[:space:]]*[^[:space:]]'; } 2>/dev/null | head -1 | tr -d ' \t\r'
- No output: use
local-ai-folder-markdown, the default for this skill group persistence.plans={value}orpersistence={value}: use{value}. If../planning/persistence/{value}.mddoes not exist, tell the user theplansskill group has no{value}implementation and uselocal-ai-folder-markdown
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 · +13 lines 7ec8aca505a6
- 1mo ago First seen · 124 lines · 70 tokens per session scan A 04cf315b1b29
update-plan is a skill published in the GitHub repository kimgoetzke/coding-agent-configs (2 stars, last pushed 3d ago), licensed MIT. It adds 70 tokens to every session and 2,043 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.
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