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 AnmarHani/SwarmVault --skill swarm-reviewgit clone --depth 1 https://github.com/AnmarHani/SwarmVaultWrote 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/anmarhani/swarmvault/swarm-review)<a href="https://agentmods.dev/skills/anmarhani/swarmvault/swarm-review"><img src="https://agentmods.dev/badge/skills/anmarhani/swarmvault/swarm-review/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/anmarhani/swarmvault/swarm-review"><img src="https://agentmods.dev/badge/skills/anmarhani/swarmvault/swarm-review.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 | $0.00059 | $0.00697 |
| Opus 5 | $0.00030 | $0.00349 |
| Sonnet 5 | $0.00012 | $0.00139 |
| Haiku 4.5 | $0.00006 | $0.00070 |
Grade A, and why
swarm-review 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 9d 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 — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
swarm-review — the milestone gate
Reviews against the spec, not just the code — that is the difference between this and a linter. Expect a top-tier model; warn if the session runs less. Milestone cadence only (token economy): not per-commit.
Scope: the milestone's diff (git log since last sweep), its tickets, and its FR specs.
The four lenses, in order
- Fulfillment (the one that matters most): every Must-FR of the milestone, individually — no sampling. Are the acceptance criteria actually met? Do the tests assert the criteria (not just execute the code)? Is the FR → ticket → commit → test chain intact?
- Standards: naming, error handling (exceptions handled, not swallowed), comment
discipline (light, constraint-stating), test quality (behavior asserted, not
implementation), commit hygiene — audited against swarm-implement's
references/clean-code.mdwhere available, including its dogma traps: fragment soup, one-implementation abstractions, pattern theater, and SRP shrapnel are findings, not compliance. End-user text shipped in the milestone (UI strings, README, release notes, marketing) is audited against the project'svoice.mdand the audience firewall — load swarm-write for the criteria. - Simplification: duplicated logic to merge, needless abstraction to delete, blocks that could be simpler or generalized. If a fix is obvious and small, still ticket it — see the rule below.
- Risk: input validation gaps, security smells, and a devil's-advocate pass — "what assumption, if wrong, hurts most?"
Findings
One per issue, compact (machine lane): severity (blocker/major/minor), FR link,
file:line evidence, concrete suggested fix. Write the report to
30 Plans/<P>/reviews/M<N>-sweep.md (human-lane summary + machine-lane findings), then
one ticket per accepted finding — findings that stay chat messages die in scrollback.
Never auto-fix. Reporting and fixing in the same pass corrupts the review; fixes are swarm-implement's job via the tickets.
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.
- 9d ago First seen · 58 lines · 0 tokens per session scan A e872488057e0
swarm-review is a skill published in the GitHub repository AnmarHani/SwarmVault (5 stars, last pushed 1mo ago), licensed MIT. It adds 59 tokens to every session and 697 once invoked, about $0.0003 per session on Opus 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.
Other skills, from other repositories
quality-checklist
Validate implementation quality through custom checklists, scoring against constitution standards, specification coverage, and producing remediation recommendations.
orchestrated-execution
Execute work units through the rigorous 4-phase Metaswarm cycle (Implement -> Validate -> Adversarial Review -> Commit) with independent quality gate enforcement.
verification
Verification-before-completion discipline ensuring all success criteria are met, tests pass, and reviews complete before declaring work done.
team-implement
Executes and verifies implementation slices. Trigger on "implement this", "execute the plan", or "/team-implement" only; never infer the phase from a ready plan.
pr-verify
Verifies a PR test plan with evidence-rated verdicts. Trigger on "verify the test plan", "check the PR items", "is this PR ready", or "/pr-verify".
verify
Run verification and code review on completed tasks.