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/grainulation/wheat/feedbackgit clone --depth 1 https://github.com/grainulation/wheatWhat 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 | $0.00000 | $0.00472 |
| Opus 5 | $0.00000 | $0.00236 |
| Sonnet 5 | $0.00000 | $0.00094 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
feedback 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 yesterday.
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.
What it actually says
/feedback — Incorporate stakeholder input
You are processing feedback from stakeholders for this Wheat sprint. Feedback introduces new claims (usually constraints or direction changes) that may trigger re-evaluation.
Read CLAUDE.md and claims.json for context.
Process
-
Parse the feedback: The user's argument contains stakeholder input. This could be:
- A new constraint ("CTO says prioritize speed over cost")
- A correction ("the compliance team says we need SOC2 Type II, not Type I")
- A direction change ("skip the custom build option, focus on Auth0 vs Clerk")
- A question ("what about latency in EU regions?")
-
Create claims: Each piece of feedback becomes a claim:
{
"id": "f001",
"type": "constraint|feedback",
"topic": "<relevant topic>",
"content": "<the feedback, attributed>",
"source": {
"origin": "stakeholder",
"artifact": null,
"connector": null
},
"evidence": "stated",
"status": "active",
"phase_added": "feedback",
"timestamp": "<ISO timestamp>",
"conflicts_with": [],
"resolved_by": null,
"tags": ["<stakeholder name or role>"]
}
-
Check for conflicts: Does this feedback contradict existing claims? If a stakeholder says "budget is $10K max" but existing research shows a solution costing $15K, that's a conflict. Mark it.
-
Run the compiler:
npx @grainulation/wheat compile --summary -
Update CLAUDE.md if the feedback changes constraints or audience.
Git commit
Stage claims.json, CLAUDE.md, and any changed files.
Commit: wheat: /feedback "<summary>" — added <claim IDs>
Tell the user
- Confirm what feedback was captured as claims
- Show any new conflicts introduced
- If compilation is now blocked, explain what needs re-evaluation
- Suggest next steps:
/researchfor new questions,/evaluateto re-test,/briefto recompile
$ARGUMENTS
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.
- yesterday First seen · 63 lines · 0 tokens per session scan A c26daa2be914
feedback is a command published in the GitHub repository grainulation/wheat (20 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 472 tokens. 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 2026-08-30.
Other commands, from other repositories
advisor
Advisory gate for triage or plan decisions. Spawns a second-opinion agent that challenges assumptions, surfaces risks, and proposes alternatives before the decision commits. Based on Anthropic advisor tool pattern.
guide
You are a triage agent who continuously prioritizes loom:issue issues by applying loom:urgent to the top 3 priorities.
pm-review
Review local git diff with reasoning + snippets; cross-check; dispose findings into the rules library.
new
Creates a new item in a module that supports the new capability.
card
Open one self-contained OverClick card.
linear-bulk
Apply the same change to many Linear issues at once. Dry-run by default.