Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add JairoTorregrosa/jaiskills/plugin install jaiskillsWrote 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/jairotorregrosa/jaiskills/insistir)<a href="https://agentmods.dev/skills/jairotorregrosa/jaiskills/insistir"><img src="https://agentmods.dev/badge/skills/jairotorregrosa/jaiskills/insistir/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/jairotorregrosa/jaiskills/insistir"><img src="https://agentmods.dev/badge/skills/jairotorregrosa/jaiskills/insistir.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 | $0.00212 | $0.06308 |
| Opus 5 | $0.00106 | $0.03154 |
| Sonnet 5 | $0.00042 | $0.01262 |
| Haiku 4.5 | $0.00021 | $0.00631 |
Grade D, and why
insistir scanned grade D with 2 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 12d 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.
Unrestricted tool accessmediumExcessive agency
A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.
Workers can edit files and run any commands. Reviewers **cannot edit** (`disallowedTools: Edit, Write`) but can run whitelisted read-only verification commands (tests, typecheck, lint) via a `PreToolUse` Bash filter hook Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- Wait another 10 seconds. If still no response, proceed with force cleanup — remove team/task directories file-by-file (avoid `rm -rf` on home paths as security hooks may block it): How it starts
The opening of the file, as written. The whole thing — 507 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Insistir: Agents Checking Agents
Multi-agent orchestration where every agent's work is reviewed by a different agent in an iterative adversarial loop — the reviewer either APPROVES or sends back for REVISION, with fresh context each round.
Uses Claude Code Agent Teams — each teammate is a full independent Claude Code session with its own context window, communicating via messages and a shared task list.
Adversarial Cooperation Model
Based on dialectical autocoding research: a structured coach/player feedback loop where the reviewer (coach) independently validates against requirements, catching the implementer's (player's) blind spots and false confidence. Key principles:
- Fresh context each round — each reviewer spawn starts clean, avoiding context pollution
- Requirements contract — acceptance criteria are the single source of truth, not the worker's self-assessment
- Iterative convergence — multiple review rounds systematically close the delta between implementation and requirements
- Turn limits as complexity signal — if max rounds exhaust without approval, the task is likely too complex and should be decomposed
- Cross-provider judgment — a different model family (Codex/GPT-5) issues the final verdict, eliminating self-preference bias
Custom Agents (bundled in this plugin)
| Agent | Role | Tools | Model |
|---|---|---|---|
jaiskills:insistir-worker |
Implement task or apply review fixes, commit, report to lead, shut down | Read, Edit, Write, Bash, Glob, Grep, WebFetch, WebSearch, SendMessage, TaskGet (disallowed: TaskUpdate, TaskCreate, TaskList) | opus |
jaiskills:insistir-reviewer |
Cross-review with APPROVE/REVISE verdict, run verification commands | Read, Glob, Grep, Bash (whitelisted), SendMessage, TaskGet | opus |
jaiskills:insistir-learnings-researcher |
Search docs/solutions/ for relevant past solutions (read-only) | Read, Glob, Grep, SendMessage | opus |
jaiskills:insistir-researcher |
Research best practices and framework docs (read-only + web) | Read, Glob, Grep, WebFetch, WebSearch, SendMessage | opus |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 507 lines · 212 tokens per session scan D e649b6d07315
insistir is a skill published in the GitHub repository JairoTorregrosa/jaiskills (5 stars, last pushed 11d ago), licensed MIT. It adds 212 tokens to every session and 6,308 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it D with 2 findings (unrestricted tool access, recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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