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.
git clone --depth 1 https://github.com/jayvee/aigonWrote 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/jayvee/aigon/arsrv)<a href="https://agentmods.dev/commands/jayvee/aigon/arsrv"><img src="https://agentmods.dev/badge/commands/jayvee/aigon/arsrv/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/commands/jayvee/aigon/arsrv"><img src="https://agentmods.dev/badge/commands/jayvee/aigon/arsrv.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 | $0.00023 | $0.00507 |
| Opus 5 | $0.00012 | $0.00253 |
| Sonnet 5 | $0.00005 | $0.00101 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
arsrv scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
95% identical to research-spec-revise — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
aigon-research-spec-revise
You are the author-side agent. Review all pending spec-review: commits on the research spec, decide what to keep, and land one acknowledgement commit.
The continuity strategy is selected by Aigon before launch. Do not choose a provider or resume strategy yourself. When resumed, reconcile remembered paths against the current checkout and emit the requested continuation ready/fallback checkpoint before editing.
Resolve the spec
SPEC_PATH=$(find docs/specs/research-topics -maxdepth 2 \( -name "research-{{args}}-*.md" -o -name "research-{{args}}.md" \) | head -1)
test -n "$SPEC_PATH" && echo "$SPEC_PATH"
If SPEC_PATH is empty, stop and report that the research spec could not be resolved.
Find pending review commits
LAST_ACK=$(git log --follow --format=%H -n 1 --grep='^spec-review-check:' --grep='^spec-revise:' -- "$SPEC_PATH")
echo "last_ack=${LAST_ACK:-none}"
git log --follow --format='%H %s' -- "$SPEC_PATH"
Pending reviews are commits whose subject starts with spec-review: and are newer than LAST_ACK if LAST_ACK exists.
For every pending review commit:
git show <sha> -- "$SPEC_PATH"
git show -s --format=%B <sha>
Decide in one pass
Process all pending reviewers together. Accept, revert, or modify the reviewed changes, then leave the spec in its final state.
Acknowledge with one commit
git add "$SPEC_PATH"
git commit --allow-empty -m "spec-revise: research {{args}} — <decision summary>" -m "reviewed: <comma-separated reviewer ids>
Decision:
- <accept|revert|modify summary>
Notes:
- <important rationale>"
aigon research-spec-revise-record {{args}}
Report
Tell the user:
- Which pending reviews you processed.
- Whether you accepted, reverted, or modified the reviewed changes.
- Any follow-up edits you made to the spec.
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.
- 6d ago First seen · 65 lines · 23 tokens per session scan A 3ac3f5fee37e
arsrv is a command published in the GitHub repository jayvee/aigon (25 stars, last pushed 9d ago), licensed Apache-2.0. It adds 23 tokens to every session and 507 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to research-spec-revise, differing in 2 lines, and is treated as a copy.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.