forge-agent
Skill2 starsChanged 5 days agoMITView on GitHub
Playbook for AI agents and LLM apps: tool calling, evals (gebruik bij AI-agents).
- Reads credentials
3 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- aaddrick/ticketmilltheir own version, first seen Oct 25, 2026
- ForgeyClap/claude-forgeedited, first seen Oct 11, 2026
- tz5514/zet-agent-skills-disttheir own version, first seen Aug 16, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- ForgeyClap/claude-forge★ 224% same
Wrote their own version · 2
- aaddrick/ticketmill★ 18same name
- tz5514/zet-agent-skills-dist★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository99 other files it gives its agents.
- docs/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- brainstormingSkill
- claude-md-improverSkill
- dispatching-parallel-agentsSkill
- executing-plansSkill
- finishing-a-development-branchSkill
- forge-a11ySkill
- forge-agent-reportSkill
- forge-apiSkill
- forge-authSkill
- forge-autoresearchSkill
- forge-botsSkill
- forge-brainstormSkill
- forge-cliSkill
- forge-cmsSkill
- forge-code-reviewSkill
- forge-contextSkill
- forge-councilSkill
- forge-craftSkill
- forge-databaseSkill
- forge-dataSkill
- forge-debugSkill
- forge-deeplearnSkill
- forge-devopsSkill
- forge-docdriftSkill
- forge-doctorSkill
- forge-ecc-adapterSkill
- forge-ecommerceSkill
- forge-electronSkill
- forge-extensionSkill
- forge-figmaSkill
- forge-fullstackSkill
- forge-gameSkill
- forge-graded-verifySkill
- forge-guardianSkill
- forge-heartbeatSkill
- forge-i18n-docsSkill
- forge-intakeSkill
- forge-integrationSkill
- forge-long-form-writingSkill
- forge-mcp-clientsSkill
- forge-memorySkill
- forge-migrationSkill
- forge-mindmapSkill
- forge-mlopsSkill
- forge-mobileSkill
- forge-n8nSkill
- forge-nightshiftSkill
- forge-observabilitySkill
- forge-paymentsSkill
- forge-plan-largeSkill
- forge-prdSkill
- forge-predictionSkill
- forge-projectbrainSkill
- forge-prompt-coachSkill
- forge-qualitySkill
- forge-ragSkill
- forge-registrySkill
- forge-releaseSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Use for: AI agents and LLM apps: tool calling, building MCP servers, evals, guardrails.
- Very specific: line 18
Not for: plugging an existing MCP server into Forge (forge-mcp-clients).
- Distinctive: line 45
Every tool has a validated input schema.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Forge playbook — Agent / LLM app + evals
Provenance
Forge-native playbook. The references add material adapted in our own words from anthropics/skills (Apache-2.0, LICENSE.txt verified per skill; see LICENSE.txt), seen on main at ca45fc4 on 2026-11-02:
- skills/claude-api (SKILL.md, shared/agent-design.md, shared/evals/build-eval.md) →
references/claude-api.md. - skills/mcp-builder (SKILL.md, reference/mcp_best_practices.md) →
references/mcp-builder.md. Forge changes: credential commands, live-doc fetches,npxpackage runs and bundled scripts dropped; drifting facts (model IDs, prices) deferred to theclaude-apiskill.
When to use
- Use for: AI agents and LLM apps: tool calling, building MCP servers, evals, guardrails.
- Not for: plugging an existing MCP server into Forge (
forge-mcp-clients); a document chatbot without tools (forge-rag). - Domain framing, team roles and honesty rule:
references/overview.md.
Do not duplicate ECC skills — defer to: claude-api (model IDs, params, tool-use, caching, token counting — read BEFORE touching any Claude/Anthropic model), forge-rag (the retrieval leg when the agent grounds on documents), agentdb-vector-search / agentdb-memory-patterns (agent memory / vector recall). This file is orchestration only; Forge's condensed agent-design notes (tool promotion, caching, context, guards, eval ladder) are in references/claude-api.md.
Hard rules (non-negotiable)
- Validated tool schemas, least privilege.
- Structural prompt-injection resistance.
- Real eval harness on a real dataset.
- Honest fallback.
- Human handoff.
- Cost / rate / loop guards.
Full text of every rule: references/hard-rules.md. Building the tool server itself (naming, schemas, annotations, pagination, transport, auth, 10-question eval): references/mcp-builder.md.
Team (conditional)
Lead: architect (or build-boss when the agent is one slice of a larger app). Full roster: references/team-and-tools.md.
Skills / commands / MCP
Skills, commands, MCP and opt-in dependencies: references/team-and-tools.md.
Fan-out & flow
L2 for a single tool-using assistant; L3 typical (agent loop + tools + eval + guardrails); L4 phased for a multi-agent system. Serial: tool schemas + least-privilege set → agent loop with budget + iteration cap → injection defense (plan-then-execute + reader split) → eval set → fallback + handoff wiring. Parallel (independent once the tool contract + prompt are fixed): tool/guardrail layer ∥ eval-harness build ∥ frontend/serving layer.
Domain gates
- Every tool has a validated input schema; the tool set is least-privilege; destructive/irreversible tools are confirmation- or human-gated.
- Injection defense is structural (plan-then-execute + capability-split reader), not just a "please ignore malicious instructions" prompt line; no unbroken lethal-trifecta path.
- An eval set exists, runs, and reports a real pass rate; regressions are catchable; prompts are versioned.
- Fallback verified for low-confidence / empty-retrieval / tool-unavailable; no fabricated facts or citations.
- Human-handoff path defined and reachable.
- Token/cost budget, agent-loop iteration cap, per-call timeout, and rate-limit backoff are enforced and tested (a runaway loop is bounded, not hoped-away).
- MCP servers built here: prefixed snake_case tool names, honest annotations, errors returned in-result, local HTTP bound to
127.0.0.1with Origin check, and a 10-question read-only eval with a real pass rate. - Secrets in env; no keys in prompts, logs, or transcripts.
Ship-readiness (unique)
Evidence checklist before handoff: references/ship-readiness.md.
Safety, approval and honesty
- Approval / safety: destructive or irreversible tools (delete, deploy, pay, send, overwrite) are confirmation- or human-gated, never autonomous.
- Approval / safety: secrets/API keys in env +
.env.exampleonly; never in prompts, logs or transcripts; agents never read or print a key. - Approval / safety: a paid full eval run waits for the owner's yes after an oracle/null check and a measured cost estimate; installing an SDK, Inspector or codemod package is a dependency change the owner approves.
- Honest failure: never claim an eval "passed" without a real dataset run; the eval runner is opt-in, so say whether it actually ran.
- Honest failure: never promise doer-blindness Forge cannot enforce (only the reader-side/weak form).
- Untrusted content: see
references/untrusted-content.md. - Shared gates for every playbook (honesty, owner approval, secrets, reviews):
.claude/docs/forge-reference/playbook-template.md.
References
references/overview.md— domain framing paragraph(s) from under the title.references/hard-rules.md— full text of every hard rule.references/team-and-tools.md— full team roster, skills, commands, MCP and opt-in runtimes.references/ship-readiness.md— full ship-readiness evidence checklist.references/untrusted-content.md— Untrusted-content injection defense (patterns from arXiv 2506.08837, CC-BY-4.0).references/claude-api.md— building on the Claude API: tool promotion, context management, caching, effort, guards, eval ladder.references/mcp-builder.md— building an MCP server: plan, build, security, review/test, 10-question evaluation.
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Your trail
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Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

