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 instructions/abhiyoheswaran1/agentloopkit/agents-mdgit clone --depth 1 https://github.com/abhiyoheswaran1/AgentLoopKitWhat 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 | $0.02127 | $0.02127 |
| Opus 5 | $0.01064 | $0.01064 |
| Sonnet 5 | $0.00425 | $0.00425 |
| Haiku 4.5 | $0.00213 | $0.00213 |
Grade A, and why
AgentLoopKit AGENTS.md 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS
This repository uses AgentLoopKit.
Before changing code:
- Read AGENTLOOP.md.
- Check
.agentloop/state.jsonfor a pinned active task, then inspect.agentloop/tasks/for open task contracts. - Use
agentloop task listto inspect available task contracts before choosing one. - Use
agentloop task show <path>to read a task contract without changing active state. - Use
agentloop task set <path>when the active task is ambiguous. - Use
agentloop task status <path> <status>to update task state without hand-editing Markdown. - Use
agentloop task doneafter verification and handoff or ship evidence when the active task is ready to close. - Use
agentloop task archive <path>only after verification and review evidence are complete. - For cleanup batches, run
agentloop task archive --status done --dry-runbeforeagentloop task archive --status done. - Use
agentloop task doctorwhen old task files or misplaced post-verification gates need a read-only cleanup checklist. - Run
agentloop statuswhen you need the pinned active task, latest open task, parked deferred tasks, verification, dirty-file, and next-action state. - Run
agentloop nextwhen you only need the next recommended loop command. - Run
agentloop doctor --redact-pathsbefore Start when you need to confirm agent-readiness guidance is current. - Run
agentloop start --for generic --goal implement --redact-pathsbefore broad repo reads when a software agent needs a compact task, evidence, risk, context-budget, and source-handle briefing, and avoid broad repo reads. - Run
agentloop ready --redact-pathswhen you need a read-only readiness gate across task, acceptance, verification, scope, forbidden files, and context budget. - Use
agentloop loop create,agentloop loop tick,agentloop loop run,agentloop loop scorecard,agentloop loop status, andagentloop loop reportto record local loop contracts, guarded runner passes, pre-flight decisions, token receipts, iteration decisions, and stop reasons. Useloop runonly when the loop contract has an explicit runner command. - Run
agentloop context handlesafter Start when the agent needs the available source-handle list, thenagentloop context show <handle>to expand exact local source truth. - If MCP tools are already configured, call
agentloop_startbefore broad reads. To configure a client, useagentloop mcp-serveras that client's stdio command. - Run
agentloop review-contextwhen an agent needs one read-only snapshot of task, gate, policy, artifact, run, and next-action state. - Run
agentloop artifactswhen you need a read-only inventory of local task, report, handoff, badge, CI summary, release-note, and run evidence. - Run
agentloop upgrade-harnessafter updating AgentLoopKit to see whether older generated guidance should be reviewed manually. - Run
agentloop policy list,agentloop policy show <policy>, andagentloop policy statusbefore touching security, dependency, database, git, public API, or secret-handling areas. - Treat local
.agentloop/policies/*.mdfiles as the repo's safety guidance. Amodifiedpolicy is a local decision to review, not a failure. - Run
agentloop shipbefore review to score evidence readiness, write a ship report, and record a run under.agentloop/runs/. - Run
agentloop prepare-praftershipwhen reviewers need a PR title, grouped body, risks, rollback notes, and checklist. - Run
agentloop maintainer-checkwhen evaluating whether an agent-assisted PR has enough evidence to review. - Run
agentloop runs,agentloop show-run <id>, andagentloop intent <file>to inspect local run history and file intent. - Run
agentloop check-gateswhen you need a quick evidence gate without the full ship report. - Run
agentloop reportafter verification and handoff or ship evidence when a local HTML evidence artifact helps review. - Run
agentloop badgewhen a local SVG evidence badge helps review or CI artifact uploads. - Run
agentloop ci-summary --writein CI when reviewers need a compact provenance and evidence summary. - Run
agentloop release-notes --writebefore a release when reviewers need local release-note evidence. - Run
agentloop npm-statusbefore claiming npm availability in release notes or docs. - Run
agentloop release-proofafter public release workflows finish before claiming cross-channel release proof. - Do not bump package versions, create tags, publish npm, publish GitHub Releases, publish GHCR, or publish MCP Registry entries during active implementation. Prepare releases only when the maintainer explicitly asks for release prep.
- Follow the Specify, Constrain, Plan, Implement, Verify, Review, Handoff loop.
- Keep changes small and tied to the task contract.
- Do not run destructive git or filesystem commands unless the user asks for them.
- Do not read or print secrets. If env files exist, mention only their paths.
- Run the configured verification commands before claiming completion.
- Run
npm run dogfoodduring meaningful AgentLoopKit changes to exercise the local self-check path, including dependency audit. Usenpm run dogfood:strictbefore final handoff or release prep when review-gate warnings should block progress; maintainer-check warnings remain reviewer guidance unless the command exits non-zero. - Run
npm run maintenance:checkfor the near-term maintenance guard covering unit checks, public-doc hygiene, link checks, and strict dogfood. - Use AgentFlight for meaningful autonomous sessions:
npx --yes agentflight start --task "<task>" --yes,npx --yes agentflight status,npx --yes agentflight doctor, andnpx --yes agentflight report. - After raw
agentflight start, runagentloop status --redact-pathsandagentloop task doctor --redact-paths. If an AgentFlight placeholder becomes active, treat it as preserved session evidence: runagentloop task clear, thenagentloop task set <path>for a detailed task oragentloop create-taskfor new scoped work. Do not edit or delete the placeholder as default recovery. - Use ProjScan during implementation:
npx --yes projscan doctor --format markdown,npx --yes projscan start, or a more specific ProjScan command when repo-risk context is needed. - Before making product-direction decisions, review
.agentloop/product-panel.md,.agentloop/user-personas.md,.agentloop/backlog.md, and the latest files under.agentloop/research/. - Treat
.agentloop/research/and product-panel output as simulated internal decision support. Do not present it as real user feedback, adoption, testimonials, or interviews in public docs. - Follow
.agentloop/harness/autonomous-dogfooding.mdfor the full AgentLoopKit + ProjScan + AgentFlight dogfood loop. - Generate review evidence with changed files, tests run, risks, rollback notes, and reviewer checklist.
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 First seen · 89 lines · 2,127 tokens per session scan A b2ccf9144873
AgentLoopKit AGENTS.md is an instructions file published in the GitHub repository abhiyoheswaran1/AgentLoopKit (1 stars, last pushed 1mo ago), licensed MIT. It adds 2,127 tokens to every session, about $0.0106 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.
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